::p_load(dplyr, arrow, quanteda, quanteda.textmodels, glmnet, caret) pacman
Supervised Learning I: Bag of Words and Machine Learning Models
The packages used in this code are:
- dplyr
- arrow
- quanteda
- quanteda.textmodels
- glmnet
- caret
Text Preprocessing
Please download the Offensive Language Identification Dataset from cardiffnlp/tweet_eval
on Hugging Face: link to dataset. The dataset is collected to train models to detect offensive content on Twitter compiled by Cardiff NLP group. (WARNING: The dataset contains sensitive content.)
<- read_parquet("train-00000-of-00001.parquet") tweet_eval_offensive
First, let’s split the tweets using a 4:1 ratio for training and testing. The training set will contain 9,532 tweets, while the testing set will contain 2,384 tweets. The code below shuffles the rows and uses the first 9,532 tweets as the training set and the rest as the testing set, and create a variable split
to label them as the training and testing set.
# create docvar with ID
$idx <- 1:nrow(tweet_eval_offensive)
tweet_eval_offensive<- tweet_eval_offensive[sample(1:nrow(tweet_eval_offensive)), ]
tweet_eval_offensive $split <- NA
tweet_eval_offensive$split[1:floor(nrow(tweet_eval_offensive) * 0.8)] <- 'train'
tweet_eval_offensive$split[floor(nrow(tweet_eval_offensive) * 0.8):nrow(tweet_eval_offensive)] <- 'test' tweet_eval_offensive
Quanteda
requires the data to be transformed into a corpus first using the corpus()
function. The variable containing the unstructured text should be specified using the text_field
argument. Quanteda
’s corpus can store both texts and document-level variables (such as labels for supervised learning)
<- corpus(tweet_eval_offensive, text_field = "text")
corpus_tweets corpus_tweets
Corpus consisting of 11,916 documents and 3 docvars.
text1 :
"@user @user Before this scumbag considers running for presid..."
text2 :
"@user @user Ik what other rappers think of him. But only cau..."
text3 :
"@user .@USER is arguing that gun control laws = a violation ..."
text4 :
"@user @user @user Liberals today R VERY different from Class..."
text5 :
"@user It sure is. Hope he is in the grand final side"
text6 :
"@user He is a lying stack of shit too."
[ reached max_ndoc ... 11,910 more documents ]
Quanteda
can be integrated with dplyr
to use pipe operators for building a text preprocessing pipeline.
- Use the
tokens()
function inQuanteda
to tokenize text. There are multiple options available to remove punctuation, numbers, URLs, etc. The default values of all options areFALSE
. Here, we remove punctuation, numbers, and URLs. - Use
tokens_remove()
to remove stop words and any uninformative tokens from the matrix.stopwords("en")
fromquanteda
offers an English stop word list. - Use
tokens_wordstem()
to stem tokens.
# tokenize texts
<- tokens(corpus_tweets, remove_punct = TRUE, remove_number = TRUE, remove_url = TRUE) %>%
toks_tweets tokens_remove(pattern = append(stopwords("en"), "@user")) %>%
tokens_wordstem()
toks_tweets
Tokens consisting of 11,916 documents and 3 docvars.
text1 :
[1] "scumbag" "consid" "run" "presid" "want" "public" "swear"
[8] "oath" "school" "never" "tri" "cop"
[ ... and 7 more ]
text2 :
[1] "Ik" "rapper" "think" "caus" "anti-drug" "honest"
[7] "think" "music" "good"
text3 :
[1] "argu" "gun" "control" "law" "=" "violat" "peopl"
[8] "right" "Even" "conserv" "Scalia" "specifi"
[ ... and 10 more ]
text4 :
[1] "Liber" "today" "R" "differ" "Classic" "Liber" "Liber"
[8] "today" "gone" "far" "left" "R"
[ ... and 17 more ]
text5 :
[1] "sure" "Hope" "grand" "final" "side"
text6 :
[1] "lie" "stack" "shit"
[ reached max_ndoc ... 11,910 more documents ]
Then we can use the dfm()
function to create word matrix.
<- dfm(toks_tweets)
dfm_tweets dfm_tweets
Document-feature matrix of: 11,916 documents, 15,296 features (99.93% sparse) and 3 docvars.
features
docs scumbag consid run presid want public swear oath school never
text1 1 1 1 1 1 1 1 1 1 1
text2 0 0 0 0 0 0 0 0 0 0
text3 0 0 0 0 0 0 0 0 0 0
text4 0 0 0 0 1 0 0 0 0 0
text5 0 0 0 0 0 0 0 0 0 0
text6 0 0 0 0 0 0 0 0 0 0
[ reached max_ndoc ... 11,910 more documents, reached max_nfeat ... 15,286 more features ]
Next, we split the matrix into the training and testing set by the split
variable we created.
# get training set
<- dfm_subset(dfm_tweets, split=="train")
dfmat_training
# get test set
<- dfm_subset(dfm_tweets, split=="test") dfmat_test
dfmat_training
Document-feature matrix of: 9,531 documents, 15,296 features (99.93% sparse) and 3 docvars.
features
docs scumbag consid run presid want public swear oath school never
text1 1 1 1 1 1 1 1 1 1 1
text2 0 0 0 0 0 0 0 0 0 0
text3 0 0 0 0 0 0 0 0 0 0
text4 0 0 0 0 1 0 0 0 0 0
text5 0 0 0 0 0 0 0 0 0 0
text6 0 0 0 0 0 0 0 0 0 0
[ reached max_ndoc ... 9,525 more documents, reached max_nfeat ... 15,286 more features ]
Supervised Learning with Bag-of-Words
First, let’s use the logistic regression with elasticity net by cv.glmnet()
from glmnet
.
<- cv.glmnet(x = dfmat_training,
m_elasticnet y = dfmat_training$label,
alpha = 0.5,
family = "binomial")
coef(m_elasticnet)
15297 x 1 sparse Matrix of class "dgCMatrix"
s1
(Intercept) -1.347231e+00
scumbag 2.225147e-01
consid .
run .
presid .
want .
public .
swear .
oath .
school .
never .
tri .
cop .
feel .
liber 1.599018e-01
like 9.769796e-02
show .
pure .
driven .
snow .
ik .
rapper .
think .
caus .
anti-drug .
honest .
music .
good .
argu .
gun .
control 1.341280e-01
law .
= .
violat .
peopl .
right .
even .
conserv -7.687047e-02
scalia .
specifi .
regul .
consist .
w .
#2a .
court .
repeat -5.708238e-02
upheld .
restrict .
today -8.794840e-02
r .
differ .
classic .
gone .
far .
left .
marxist .
buri 4.517966e-01
head 3.991782e-01
sand .
neo 3.233080e-01
amp .
lib .
trump 8.798954e-02
authoritarian .
can .
say -2.064113e-02
kill 7.893334e-01
sure .
hope -2.857092e-03
grand .
final .
side .
lie 4.662621e-01
stack .
shit 2.547991e+00
#theresamay .
video .
ef .
scarf .
vomit .
anyon 3.733812e-02
brain 8.007967e-01
#whiteprivileg .
made .
#homeless .
replac 4.634734e-01
#muslim .
vote .
#corbyn .
#maga .
#mbga .
#mcga .
#mega .
#conserv .
#patriot .
#dueprocess .
permit .
#document .
evid .
#democrat .
can’t .
believ .
#doublestandard .
#confirmkavanaughnow .
cute .
mayb .
respond .
trade 2.633419e-01
woman .
tell .
truth .
told .
year .
ago -1.147203e-01
accus .
letter .
said .
didn’t .
second .
credibl .
will .
stop 8.407072e-02
k .
realli .
need .
come .
someth .
better .
excus .
besid .
worn .
hillari .
clinton .
defend .
either .
undereduc .
base .
assum .
one .
that .
ignor 4.762337e-01
memeb .
antifa -1.017312e-01
#kag2018 .
skill .
work .
miss .
foot .
half .
#willienelson .
laughs .
conservatives .
#theview .
sudden .
outrag .
support .
#mog .
hold .
benz .
car .
key .
🔑 .
know .
bum .
write .
ass 1.920336e+00
bottom 4.250902e-01
proof .
higher .
intellig .
us .
everi .
happen .
children .
guy .
man .
clear .
just .
anoth .
stall .
tactic .
yes .
investig .
pleas -6.596044e-02
back .
field .
annnnnnnnnnnnnd .
love -9.623008e-02
💙 .
#alwaysacowboy .
#nflsunday .
#cowboysn .
#dezbryant .
#88 .
tire .
spici .
includ .
liter 1.159735e-01
murder .
terror .
rise .
bad 1.618787e-02
broke .
window .
rosi .
hug .
tight .
hello .
angi .
smile .
happi -5.565058e-02
im .
bet .
levi .
walk .
gasp .
rosie .
ran .
make .
jack .
crimin .
arm .
won’t .
stand .
chanc .
usa .
citi .
highest .
violent 2.712039e-02
crime 1.177065e-01
rate .
strictest .
swiss 2.599243e-02
train .
rare .
democrat 2.302788e-01
polici .
watch .
news .
outlet .
fox .
saddest .
thing .
read .
claim .
kavanaugh .
presum .
innoc .
wrong .
confirm .
hear .
prove .
charact .
sit .
life .
trial -1.855567e-02
tim .
koontz .
delus .
call .
hrc .
backer .
idiot 2.385734e+00
attack .
messeng .
messengers .
sign .
took .
deliveri .
messag .
packag .
sent .
dnc .
blind .
fash .
thrash .
beat .
top .
yassss .
win .
suit .
cali 1.873067e-01
overturn .
via .
first .
truste .
join -4.272527e-01
lead .
charg .
sinc .
divest .
fossil .
fuel .
true .
accomplish .
progress .
actual .
get .
result .
letitia .
jame .
ny .
ag .
tomorrow .
primari .
sept .
13th .
astronaut .
use .
mean .
a-ok .
bho .
photograph .
okay .
joke .
see .
bite .
boy .
now .
apolog .
insan .
mental 2.862505e-01
disord .
war .
hilari 5.384122e-01
insubstanti .
😂 .
wait .
maga .
tat .
across .
chest .
pictur .
mueller .
don’t .
type .
dumb 1.403644e+00
go 1.247615e-02
lose .
anyway .
noth 1.007215e-01
battl .
suicid 1.910679e-01
bomber .
unfortun .
stay .
must .
fight .
transphobia .
nation .
review -1.644746e-03
astound .
kind .
intellectu .
failur .
choic .
ppl .
hook .
decept .
dirti 5.331501e-01
trick .
refus .
protocol .
stole .
scotus .
seat .
obama 2.182040e-01
cri .
foul 8.870889e-01
other .
play .
hardbal .
bunch .
pussi 9.527968e-01
#merrickgarland .
#resist .
seem .
somewher .
word .
place .
plagar .
best -6.322002e-01
thank -5.389309e-01
sm .
holiday .
trip .
kyungsoo .
nam .
ji-hyun .
futur -3.039179e-01
chemistri .
#exo .
drama .
deserv .
let .
borrow .
yo .
🤣 .
handsom .
donat .
shoe -2.284993e-01
homeless .
veteran .
american 5.233400e-02
sew .
circl .
emblem .
❤️ -8.084347e-04
care .
sick 9.656792e-01
front .
mine .
😁 .
dam .
white 3.222129e-01
slave 6.379709e-01
owner .
luck .
talent .
serena .
upset .
penalti .
given .
men’ .
tenni .
action .
penal .
he’ .
bitter .
barn .
inbred 4.353042e-01
😭 .
game -1.102626e-02
nigga 1.838451e+00
🤷🏻♀️ .
went -7.338836e-03
got .
prop .
hollywood .
that’ .
privileg .
day .
long .
coke .
tom .
arnold .
beauti -1.765929e-01
person .
omg .
💕 -4.695199e-02
lord .
take .
away .
height 1.385057e-01
ecstasi 3.015496e-01
bodi .
perfect .
exampl .
despis .
disgust 1.997112e+00
hell 1.252799e+00
hurt .
job 3.170323e-02
randi .
orton .
ear .
pretend 2.129553e-01
leftist .
forgot .
persuas .
fam .
texa .
give .
repub .
supermajor .
senat .
birthday .
s .
ever .
surrend .
heart .
bleed .
red .
blue .
donald .
j .
#voterepublican2018 .
#votered2018 .
#americafirst .
#keepamericagreat .
comment .
drug 2.521295e-01
ford .
blatant .
abus .
power .
complet .
laughabl .
bia .
bias .
ndp .
rich .
downtown .
area .
poll .
ho-man 5.578434e-01
laugh .
postal .
worker .
slaughter .
oklahoma .
12-gaug .
winchest .
pump-act .
shotgun .
nra .
research .
uneth .
famili .
close .
everyth .
ten .
command .
anywher .
ask -2.384647e-02
#slimshadi .
everywhere .
lol 3.693398e-02
#thegreatawaken .
#qanon .
time .
wake .
#thestorm .
#wwg1wga .
#jesusisback .
#godisgreat .
pope 6.235648e-02
may .
stepdown .
#tcot .
complac .
novemb .
especial .
religi 1.221404e-01
routin .
interview .
serious .
imagin .
pull .
crap 1.642680e+00
suprem .
justic -2.347701e-02
kav .
spend .
wai .
much .
talk .
well .
uk .
past .
pass .
ball .
keita .
instead .
shot .
discuss .
anyth .
quit .
selfless .
help .
unifi .
🙄 .
bastard 1.984574e+00
everywher .
luckili .
extremist .
jeremi .
corbyn .
act .
counter .
balanc .
racist 9.940978e-01
mob .
daili .
geeezz .
doesn’t 1.798947e-01
air -1.048578e-02
doug .
😬 .
yup .
total 8.292490e-02
fine .
mexico .
gorgeous .
😘 .
👏🏻 .
sarcasm .
also .
great .
it’ .
save .
live .
#neoliber .
fail 5.050916e-02
#poor .
#middleclass .
parti .
#canada .
#liber .
#bernier .
#ppc .
#polit .
#govern .
#cdnpoli .
#pnpcbc .
#populist .
#racist .
#racism .
#bigot .
#hw .
#polcan .
#cpc .
#lpc .
#ndp .
share .
cbc .
new -3.515887e-01
android .
app .
buzzfe .
contact .
subject .
home .
last .
week -2.196325e-02
declin .
abl .
content .
high .
classmat .
congress .
govern .
award .
nazi 6.441549e-02
violenc .
movement .
god .
+ .
block .
buhby .
goddess .
💛 .
sharper .
retir .
rang .
practic .
#nra .
girl .
definit -2.265898e-01
un-charismat .
seen .
host .
cash .
prize .
whoever .
pounc 5.095302e-01
furious .
u .
world .
leader .
meet .
‼️ .
😱 .
case .
point .
societi .
mind .
manipul .
horrend .
weaker .
creatur .
deepli .
troubl .
individu .
yet .
focus .
core .
health .
joseph .
alway .
follow .
patriot .
😀 .
pls .
arrest 3.795111e-01
accessori .
hat .
derang 2.307790e-01
revkin .
spread .
important .
andi .
intellectual .
real .
liberals .
stuck .
figur .
faux .
liberals-like .
andy-wonder .
dont .
anymor .
melanie’ .
boyfriend .
import -1.961403e-02
ivanka .
speak .
empow .
women .
embarrass .
silver .
platter .
father .
least .
america .
fulli .
depend .
prefer .
cheap .
labor .
disempow .
product .
smart .
ladi .
realiz .
chuck .
twitter -1.310999e-01
account .
weather .
dem .
rep .
pic .
associ .
way .
piss .
dark .
patch .
histori .
evil 7.595080e-01
anti-semit .
count .
indiffer .
complic .
million .
europ .
libertarian .
ugli 1.239741e+00
divis .
two .
system .
lot .
uglier .
straight .
men 1.604292e-01
leav .
hatr 4.885964e-01
#leftist .
#commi .
#usa .
littl 2.522355e-02
bit .
rile 9.071398e-01
😆 .
#socialist .
#lefti .
#trump .
#republican .
i’m .
pray -2.117952e-01
caught .
illeg .
activ .
involv .
explos .
anger .
issu .
child .
throw .
danger .
tantrum .
someon .
agre .
wonder .
treat .
stupid 2.418958e+00
becom .
#termlimit .
hes .
comin .
ur .
woolli .
bitch 2.867842e+00
statement .
asking .
friend .
alon .
whole .
worst 7.048538e-01
enemi .
deal 1.118999e-01
group .
israel .
foreign .
policiy .
decad 3.096756e-01
spie .
quasi .
blackmail .
scheme .
9.15am .
appoint .
specialist .
alreadi .
minut .
behind .
schedul .
end .
book .
strategi .
paid .
arrog .
medic .
impress .
architect .
learn .
🤷🏼♀️ .
silli 9.851143e-01
trump’ .
posit .
start .
look .
nra’s .
😐 .
sorri .
idio 4.353315e-01
congratul -4.758935e-02
googl .
reveal .
chines .
compani .
butt 2.203586e+00
zero 1.039038e-01
tv .
fuck 2.626580e+00
push .
😒 .
locat .
shoot .
usualli .
event .
usual .
dead 1.680960e-01
disgrac 1.157445e+00
break .
tradit .
former .
step .
asid .
longer .
obama’ .
countri .
belong 3.685759e-02
sheepl 6.978313e-02
saturday .
#confirmkavanaugh .
#voteredtosaveamerica .
threw .
lost 2.519819e-02
strip .
sack .
possibl .
drive .
super .
bowl .
goe .
though .
helmet .
catch .
ring .
cori .
spartacus .
booker .
money .
big .
pharma .
aarp .
toward .
rememb .
custom .
republican 2.004673e-02
wow .
colour .
living .
pretti .
sake .
coolest .
dude .
sister .
aparta .
instant .
remind .
ungrat 4.978364e-01
brat 8.442353e-01
without .
spent .
hour .
broken-heart .
hate 3.512749e-01
verifi .
detail .
passport .
phone .
pointless .
busi .
hang .
rubbish 1.305417e+00
servic .
distopia .
corrupt 9.541111e-01
averag .
citizen .
t .
merci .
strong -2.694780e-02
hous .
card .
fall .
fast .
matter .
ugh .
meant -2.989692e-01
wig .
🤡 .
relationship .
strict .
legisl .
homicid .
interest .
phrase -3.666452e-01
particular .
question .
swearer .
overwhelm .
intern .
disprov .
correl .
fool 1.240863e+00
realiti .
mass 3.397855e-01
number .
disinterest .
keep .
$ .
ms .
poster .
add .
speshul 1.242012e-01
emphasi .
thought .
joe 2.009749e-02
biden .
outcom 4.170256e-01
name .
hill .
#realdonaldtrump .
rather .
quiet .
endgam .
vlad .
probabl .
expend .
ponder .
communist 1.099284e-01
grade .
washington -3.258794e-01
9mm .
beretta .
blame .
#buildthewal .
mandatori .
e-verifi .
#rednationris .
#sendthemhom .
sh .
hole .
huh .
brazil .
bro .
cray .
mehn .
there’ .
audio .
simpli .
revert .
blah .
i’ve .
troubleshoot .
fix .
sourc .
circuitri .
convert .
insane .
bs 4.926957e-02
#meneith .
liar 1.453999e+00
absolut .
bullshit 1.369947e+00
move .
appreci .
everyon .
misplac .
knee .
loss .
anti .
fascist 1.010395e+00
romney .
brick .
unless .
na .
😧 .
part .
crook 3.774623e-01
per .
done .
put .
togeth .
loser 1.415286e+00
spoil .
sort .
ahh .
later .
cant .
minnesota .
wife .
silent .
hypocrit 1.911499e+00
condemn .
israeli .
basi .
angel .
pin .
doom .
endless .
debat .
effect .
radiat .
mention .
gaga .
witch 7.499153e-01
known .
immort .
unamerican .
saw .
jail 4.025166e-01
#youaregoingtojail .
#youhavebeenexpos .
dbc .
heard .
#51 .
epic .
forward -3.661329e-01
soon .
sen .
feinstein -4.196407e-01
sat .
polit .
seeker 1.161247e+00
sell .
soul .
mani -1.752446e-02
smash .
wear .
anti-american 1.115426e+00
fucktard .
pathet 9.507742e-01
wast .
slap 6.770483e-01
ballot .
box .
shout .
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pc .
2018-09-14 .
blocklist .
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coverag .
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wors 1.558201e-02
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truli -1.783334e-01
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creep 9.918137e-01
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medicar 2.193137e-01
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meta 3.715410e-01
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void 6.671175e-01
construct 1.282606e-01
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hypocrisi 4.181383e-01
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breakdown 7.891473e-02
re-elect .
curious .
gain .
perspect .
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ke .
typo 1.226822e+00
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invade 4.092889e-01
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warrant .
aww .
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invit .
pose 1.087547e-01
neonazi .
smdh .
comput .
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congratulaion .
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places .
straighten .
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payday .
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novic .
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flaw .
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maher .
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pedo 3.820975e-01
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soul—all .
christ 4.007780e-01
✝️ 3.393856e-01
kitti .
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judici .
activism—septemb .
controversi 4.850834e-01
outfit .
usta .
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advoc .
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manner .
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marketplac .
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fecker 4.354473e-01
detest .
personnel .
wisconsin .
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asshol 2.187643e+00
owe .
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inkl .
sidekick .
strang .
distract 1.012240e-01
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♨️ .
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pocket .
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#ljmaga .
#goredstatebyst .
transvestit 2.440915e-01
dreg 5.106151e-01
circumst .
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upbring .
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lick .
boot .
reelect .
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stalk .
appointe .
stage .
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secretari .
treasuri .
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loli .
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spider .
arachnophobia .
dork .
frump .
drump .
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psychot .
lunat 5.196717e-01
demorat .
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abhorr .
hung 1.224681e+00
foward .
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diagnost .
centr .
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tendenc .
epithet .
cruel .
richard .
cornuell .
reclaim .
dream .
ked 5.797037e-02
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#maga2020 .
#trumpsupport .
#womenfortrump .
ecb .
tournament .
map .
delud .
misl .
subsequ .
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urgent .
🇪🇺 .
sleep .
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reverse .
wade-women .
indict .
destroi .
act-aca .
lgbtq .
violate .
tragedi .
despit .
cinci 1.514941e-01
plausibl .
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puto .
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yaftv .
8sep2018 .
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thorough .
disingenu .
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sharpen .
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#thuglif .
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ordinari .
dispos .
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genocid .
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militia .
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bengal .
selfi 1.185896e+00
controvers 4.048344e-01
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emanuel’ 2.024773e-01
omen .
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scum 5.706649e-02
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characterist .
incarn .
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30piec 9.445773e-02
guidanc 1.859361e-02
sp .
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bui 3.231418e-01
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shopping-sal 3.550257e-03
org .
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#usa_flag_4u 6.503580e-05
#shop_8_9 7.589686e-06
#pol_8_27_qx 8.242772e-07
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brownshirt 6.014379e-01
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kindergarten .
iron .
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demis .
execution .
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2017-2018 .
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elementari .
secondari .
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#hate .
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#betsydevo .
dictate .
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granth .
bibl .
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ridicul 1.359943e+00
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solut .
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various .
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liberti .
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absolute .
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shore .
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leg 6.589460e-01
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midwest .
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likeli 3.911885e-01
holocaust .
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attest .
risk 2.004269e-01
contempt .
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🇬🇧 .
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#remoan .
#quisl .
#fbpe .
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#snowflak .
#bedwett .
#leftieluvvieliber .
fawn 2.117017e-01
dave .
visa-mata .
raw .
nerv 3.408377e-01
modi .
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regist .
registr .
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inept .
jisoo 3.418122e-01
taeyoun 1.053540e-01
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nuke 1.400574e-01
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coalit .
prison 2.027962e-02
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dredg .
omport .
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enrich .
seeth 2.494557e-01
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enter -1.101813e-01
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valid .
bounc .
nowaday -1.213026e+00
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submiss .
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african-american .
hispan .
portray .
gari .
mauser .
maker .
serial .
lover .
blew 2.400958e-01
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compliment .
artist .
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tit 1.431258e+00
fend .
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nod -5.996173e-02
wink -9.881592e-03
swamper -9.941998e-04
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lier 1.392637e+00
brainless 4.364560e-01
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🧟♂️ .
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facist 2.192574e-01
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phoni 5.831643e-02
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rank .
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#wallstreetjourn .
favourit .
boo-hoo 2.516369e-01
rotat .
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midfield .
option -6.238149e-02
dixiecrat .
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trace .
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wad .
weekend -5.505690e-02
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merch 5.771211e-01
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leftest .
pd 7.975711e-01
sooooooo .
vega .
concert .
theater .
sunni .
spring .
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convict .
ultra-left .
furri .
enlighten .
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explan .
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media.they .
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litmus 6.005689e-01
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chairman .
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acct .
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redneck 8.836125e-02
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civilian -2.149757e-01
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nerd 4.354470e-01
photographi .
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utopia .
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#usopen .
#serena .
manchest .
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shitti 1.362902e+00
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pervert 6.132184e-01
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impos .
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parasit 7.261312e-01
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weight .
starlet 1.172615e-02
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gps 2.243442e-05
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#tommyvalhalla 2.027750e-07
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abolish .
bankrupt 8.715811e-01
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daniel .
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belt .
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effort .
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#stevekerr .
#headcoach .
casual .
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proceed .
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dualiti .
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cheepika .
insecur 9.885796e-01
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slur .
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inconveni .
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demonrat .
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sheer .
scale .
pit -4.048291e-02
recon -3.512087e-01
baz -1.259159e-01
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light .
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untrustworthi .
reader .
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shitlib .
slash .
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globalist .
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usb .
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handcuff 4.354479e-01
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doctrin 6.460009e-01
broadcast .
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journal .
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union .
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confer .
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howa 6.511704e-02
hooch 1.094817e-02
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congressmen .
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bluf 3.553690e-01
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desrerv 4.354458e-01
thos .
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pelosi .
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afterward .
taboo .
catastroph .
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disturb .
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alooot .
bhabi .
megumi 3.259890e-01
asked 1.028185e-01
tits 2.132472e-02
bonehead .
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#istand .
#mememb .
#memologist .
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🤤 .
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😖 1.053941e-01
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#whatilearnedtoday .
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cumm 3.189560e-01
inn 9.136094e-02
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ck 8.705781e-01
holster 5.017117e-01
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mastermind .
angela .
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inquiri .
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worthless 9.665851e-01
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enforce .
laws .
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coloss .
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jmo 4.127725e-01
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misconduct .
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london .
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ratio .
fundament .
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thigh 4.233980e-01
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achiev -3.178669e-01
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geno .
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numbers .
means 8.823851e-01
so-called .
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lands .
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nc .
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semi-automat .
mexican .
britain .
rat 8.943215e-01
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fundamentalist .
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mitchel .
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metaphor 3.469768e-01
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bigotri .
symbol .
conservatives-antifa .
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leadership .
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deadnam 7.474799e-01
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india .
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spirit .
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#patheticlittlemanjr .
consensus .
15-year-old .
disqualifi .
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phil .
philippin .
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bloodless .
dictatorship 4.696348e-01
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lotto 4.354425e-01
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cem .
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anglophon .
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sincer .
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botox .
nay 7.920478e-02
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wayyyyy .
legislatur .
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councillor .
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stabl .
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demonstr .
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sam .
houseguest .
capitol .
lock 1.111535e-01
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dba .
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chime -5.413334e-01
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horrid 4.284032e-02
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shld .
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ll 1.058686e-01
lapdpg 2.175997e-02
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temper .
pathway .
endeavor .
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mps .
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self-profess .
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sigh .
inhales 1.933281e-01
tired 3.843804e-02
putting 4.800384e-03
beautiful .
bestfriend 5.012447e-04
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landri .
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#bigtech .
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dangit .
replica .
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sandwich .
uhh .
reboot .
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predomin .
aspect .
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t-shirt .
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#baltimoreriot .
violence .
helpmto 3.374511e-01
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defici .
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#goodtrumpsevil .
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#digitalsoldi .
#fisagate .
#gitmo .
#enjoytheshow .
#strawberryrecal .
curtail .
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kaiser .
idgaf .
straussdoublesdown .
dump .
passion .
belat .
kochs .
trumps .
pollutors .
students .
teachers .
lets .
things 4.114351e-01
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evene .
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wanda -3.697003e-01
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bitchass 2.932082e-01
dipfuck 7.786480e-02
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lit .
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plz .
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mukalla .
overrun .
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legitim .
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dumber 1.300445e+00
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optic .
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giveaway .
leftw .
nutjob 1.379059e+00
chap .
cradl .
coffin 1.532456e+00
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sublim .
pregnant .
makeout .
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spittoon .
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chosen .
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huckabe .
sander .
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mcenroe .
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hypocrite .
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renew .
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toxin .
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mep .
#coburn .
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capitul -4.199397e-02
river .
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dipstick .
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discredit .
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revel .
collab .
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fortnit .
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bye .
blasphemi .
concept .
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gavin .
lament .
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draconian .
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bald .
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sinist .
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incredibl .
amus .
sicken .
knot .
dishonest 1.546844e+00
crack .
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tryant .
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tyrann .
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crew .
deliv .
oscar .
unrel .
neccessari 2.731151e-01
gregg .
jarrett 6.829086e-01
illegitim .
coming .
havent .
molina .
romero .
sharp .
ensur .
lrt .
tie .
heavili .
corridor .
consolid .
whoopin .
gentleman .
mud .
#whatareyouthink .
haul 1.578381e-01
fat .
harms .
druggie .
pediphil .
protector .
enuf .
strap .
vack .
indonesia .
repent .
wide .
destruct .
etern .
conf .
bench .
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tjhan .
creepi .
flirti .
gaze .
miu .
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#democratsaredanger .
loco .
squash .
#pain .
#lockthemallup 2.041209e-01
#popcorn .
🙏🏾 .
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mia .
persecut .
segreg .
milit 3.313255e-01
armband 9.483099e-02
wannabe .
☝ .
paranoid .
yale .
hq .
wep .
diplomaci .
pros .
splinter .
sphincter .
by-and-larg .
extraordinarili .
conartist .
welcomeeee .
goer .
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38-calib .
smith .
wesson .
😋 .
crypt .
layman .
misinterpret .
barbar .
chaplain .
landslid .
bret 1.145195e+00
sacr .
towrd .
scummi .
drown 8.911968e-01
☮️ .
🇨🇦 .
👵🏻 .
backtrac .
gov't .
goodby .
transparent .
spine .
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#media .
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#licensereporters .
aveng .
acting .
everybodi .
croni .
vast .
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instig .
supremacist .
clergi .
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poland .
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discrimin .
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meat .
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illinoi .
horrif .
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isi .
careful 3.233697e-01
soyboy 1.025175e-01
stickman 2.130361e-02
dweeb 3.563764e-03
dirk .
plumber .
dan .
majerl .
danni .
aing .
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amen .
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eventu .
demoncrap .
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🤐 .
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😈 .
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sunset .
diatrib .
heathen .
#drainingthedeepstateswamp .
overcom .
easier .
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researched .
necrophiliac .
chess .
dimension .
dumbaf .
ish .
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fahim .
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alright .
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muzzi 3.417007e-01
terriorist 1.054499e-01
flynn .
plea .
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broom .
motion .
couch .
dion .
hmm .
prix .
nail .
nov .
anthem .
counterproduct .
spygate .
nobel .
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sabotag .
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dang .
financ .
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simultan .
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panti .
jacob .
garden .
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amd .
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proverbi .
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duuuueerrrrhhh 3.504695e-01
#fanniema .
slush 6.784428e-01
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#releasethetext .
#noredact .
#obamag .
#obamaknew .
duel .
#appeas .
anti-nazi .
antifa-lov .
faction .
heckl .
hawd .
german’ 3.059132e-01
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scottish .
badger .
hotlin .
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emergenc .
execut .
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#constitutionday .
hyt 4.354377e-01
sash 3.416932e-01
di'd 1.054550e-01
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delight .
it’d .
slow .
pos 6.202827e-01
☝️ .
trumptard .
crushes .
fullest 1.424913e-01
extent .
unabl .
uniti .
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heather .
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homophob .
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dredd .
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#wednesdaymotiv .
#wednesdaymorn .
#2adefend .
➡ .
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alan .
hypothet .
goodmorn .
impati .
canelo .
charlo .
hurd .
swing .
shine .
walker .
messi .
goalkeep 4.354375e-01
goat .
petit .
ellison’ .
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harden .
psychosi .
crazier .
batsht .
certifi .
italian .
sicili .
ridiculous .
notions .
stands .
anti-fascism .
dictators .
fishi .
materi .
insuffici .
cleans .
slimi .
prestigi .
lying .
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charade .
delai .
confirmed .
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frustrat .
subsid .
sooth .
succinct .
clingvto .
#peoplesvot .
summon .
op-ed .
. 2.507744e-01
pledg 6.372217e-02
denni .
coin .
buddhist .
skeptic 3.021480e-01
stereotyp .
kathua 2.810206e-01
mogg .
succeed .
clich .
use-it -1.494217e-01
wannab .
manhattan .
#colleg .
dalla .
wasr-10 .
centuri .
arms .
rebellion .
conner 1.150199e+00
coz .
pakistani 2.056601e-01
cybersecur .
reput .
begun .
crumb .
yelp .
stapl -2.904419e-01
hamburg -8.086965e-02
grey -7.700135e-03
lisa .
narrat .
hinder 1.832632e-01
president’ .
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exciting .
president .
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it'd .
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pars .
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#bus .
#transport .
106m .
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congressman-a .
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speak-w .
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eh .
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burka .
freeli .
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capabl .
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atmospher .
kenni .
forth .
compromis .
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reagan—lay .
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oppos .
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repeal .
#reality_check .
warrior .
👹 .
#heather_mallick .
cpc .
maxim .
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hard-right .
storm .
one-year-old .
ewu 1.558810e-01
anumanu 3.057195e-02
dish .
neck .
conced .
anti-serena .
avow .
plum .
thiswacko .
breweri 4.354343e-01
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recant .
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demean .
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#gopcomplicit .
#stopkanavaugh .
#crazytown .
#alternativefact .
punch .
reunion .
smug 1.186463e-01
𝓭𝔂𝓼𝓹𝓱𝓸𝓻𝓲𝓪 4.354340e-01
fitton .
highlight .
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sky .
hmp .
#bbcqt .
#newsnight .
#bbcpl .
#channel4 .
#marr .
#hignfi .
#uklabour .
#bbclive .
stockholm .
swedish .
sik .
heil .
backsid 6.824991e-01
feverish .
corrobor .
lynch .
grassley .
vindic .
clearanc .
chaleng .
beliv .
familer .
#anitahil .
burden .
unglu .
shitted 3.097550e-01
shat 9.430607e-02
ytd 1.860102e-02
0.6kg 2.910715e-03
believe .
recoveri .
toronto .
✌️ .
obesiti .
desecr .
grave .
reiter .
offenc .
ewa .
poopi .
diaper .
imag .
stink .
andries .
inning .
torey .
fiiiiiin .
toxic 1.185033e+00
allig .
gutierrez .
roberto .
clement .
self-hat 4.007651e-01
winnig .
reaction .
swift 1.030645e+00
appeal .
male .
priest .
sc .
judge .
till .
rting .
webster .
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✍ .
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#magaforallinc .
#teamtrump .
unhappi 2.617096e-01
bola .
furnitur .
johnson .
shittier .
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antiamerican .
👉🏻 .
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unlik 1.059594e+00
annoy .
layer 8.076823e-02
golan 1.118464e-02
🇸🇾 1.067260e-03
exhibit .
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bunni .
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charter .
#conservativesattackondemocraci .
#thecpcisapoliticalhategroup .
dukin .
#christineford .
#ccot .
#brettkavanaugh .
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imper .
revolt .
indeed 1.724724e+00
jc .
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freakazoid .
get-go .
montana .
#donjr .
facil .
#donaldtrumpjr .
#theresist 3.338229e-01
#impeachtrump .
iwa .
veroniqu .
gram .
innocent .
drain .
#leftism .
conform .
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design .
ethnic .
pertain .
lawless .
perpetr .
griffin .
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far-left .
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molest 1.350674e+00
11yr .
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#confirmjudgekavanaughnow .
#senatorfeinstein .
anything 1.334402e+00
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quasi-conserv .
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solidar .
denial .
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#love .
#money .
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#gofundm .
#monsterfund .
#support .
fervent .
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rethink .
closer .
climb 6.267552e-01
wither .
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cnn’s .
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homosexu .
rot .
bergoglio .
archbishop .
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defenseless .
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centrefold .
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inappropri .
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moveset .
whine 2.288693e-01
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#danish .
#welfar .
#uk .
magnum 3.410918e-01
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lingeri .
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turkey 9.291247e-01
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robert .
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solei .
#hypocritical .
breathtak .
alt-shit 4.824488e-01
#2ashallnotbeinfring .
pul-ease .
msmedia .
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marxin .
pavlovian .
🌙 .
honey .
postur .
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gutless 1.135443e+00
witless .
relativist .
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republican’ .
colin .
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#emmyaward .
reciev .
hockey .
turmp .
#makeamericaamericaagain .
#makeamericastrongagain .
#makeamericasafeagain .
#makeamericasaneagain .
freshmen .
bucket 4.969272e-01
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revord .
insul .
inlaw .
cue .
#mkultra .
citizenri .
takeov .
om .
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stark .
appeas .
leona .
criticize .
groper .
antipo .
knucklehead 4.354350e-01
eitherway -3.682275e-01
jewel .
gravit .
🛸 .
affordabl .
poet .
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antifasc .
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workabl .
shameless 1.003800e+00
sheila .
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refinanc .
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net .
#boycottemmi .
percept .
centralist-liber .
#timesuptwitt .
pro-lif .
slam .
#newsmax .
dorter .
#dangerousdemocrat 4.354352e-01
wayi .
litter .
videograph .
tragic 5.370434e-01
railway .
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aight -3.027480e-01
kangaroo .
yesterday’ .
comeback .
baiter .
switcher .
extremistisch .
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versa .
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blast .
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#presidenttrump .
#treygowdi .
#privileg 3.416388e-01
lane .
blvd 1.055051e-01
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schmata .
nitwit .
counterpart 3.112978e-01
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signifi .
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blot 3.094544e-01
dharmic 9.430275e-02
kashmiri 1.860689e-02
pandit 2.912240e-03
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hinduphobia 3.854610e-04
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indoctrin .
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open-season .
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#godblessamerica .
#annalovestrump .
#trumpsarmi .
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#ibor .
#wtobrexit .
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allegat .
presumpt .
dim 3.258177e-01
econ 1.029273e-01
butt-hurt 2.137257e-02
sneaki .
sought .
programm .
cbb .
lw .
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visibl .
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express .
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regain .
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whatsoev .
annoint .
#womenshouldruletheworld .
bribe .
victorian .
altar .
anita .
wasca .
extension .
complete .
selective .
fonding .
girls .
oversea .
stylist .
bangl .
bracelet .
unnecessari .
trumpster 1.300005e+00
cuba .
#dianefeinstein .
#clarencethoma .
#confirmcoachk .
sloppi .
😛 .
murdock .
🤷♀️ -1.584184e-01
mona .
fredo .
ticktock .
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mgk .
terrified .
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#declassifyital .
clout .
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co-opt .
swastika .
#icymi .
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homophobia .
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abortion.becaus .
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#vateran .
#trumpsamerica .
serves 3.416326e-01
bastards 1.055089e-01
guid 7.911443e-01
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multipl .
cya .
golden .
ukip 2.566890e-01
ultra .
dammit .
self-enrich .
✊ .
#takeusaback .
#mondaymorn .
#mondaymood .
comed .
lift .
built .
fucker 1.556323e+00
monument 3.705262e-01
torn 1.269727e-01
constern 2.921130e-02
chloe .
shon’ .
#spygat .
millenni .
contradict .
blockchain .
it's .
bewis .
mothers .
makewis .
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lion .
blather .
hybrid .
populac 4.029082e-01
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lamb .
fella .
connelli .
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infam .
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yessir .
gamecock .
lvmpd .
mgm .
#vegasshoot .
surveil .
overpaid .
cock 8.604322e-01
load .
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charm .
eloqu .
signatur .
rabbl .
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empower .
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bronx .
shake-yell-motiv .
pinstrip .
pleaser .
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sailor .
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accused .
mind-boggl .
acquaint .
upstair .
mos2 .
kryptonian.turn .
mm 2.855528e-01
refug .
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michell .
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godsend .
volt 4.354319e-01
worm .
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agent .
telegram .
marxism .
stairway .
msnbc .
impass .
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perceiv 5.543124e-02
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et .
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druggi .
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mcinnes 4.438161e-01
harmless 1.521018e-01
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entryist .
charlottesvill .
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visionari .
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everywheh .
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geonicid .
ty .
strength .
walter .
gor 1.239725e-01
irrat .
#1 .
crabcak .
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radius .
lds .
weren’t .
admin .
calendar .
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me.also .
them.h .
whenev .
🐶 .
democrats.thi .
party.noth .
aisl .
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perp .
unattend .
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tack .
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remiss .
exposur .
lacquer .
fume .
spray .
stain .
occurr .
haa .
looool .
noos .
offshor .
haven .
hiv .
whiff 4.354287e-01
chew .
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perjure .
days .
sassi .
tariff .
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#shameonyou .
unafford .
snm .
#liberals .
ongo .
align .
reflex .
thort .
greet .
heidi .
brunett .
mysteri .
stadium .
espous 8.738006e-01
fiddl .
pension .
cook .
counti .
madigan .
betti .
feminists .
years .
5pc .
uni .
web .
hord .
🙌 .
cranley .
cincinnati .
psychologist .
#dgps2018 .
trump2020 1.185810e+00
divin .
intervent .
poitician .
fold .
woooow .
choir .
adjust .
🤞 .
a10 .
#cartersbodysuitsweepstak .
geolog .
endur .
any1 .
psycholog .
warfar .
goon .
✊🏾 .
plot .
thicken 3.970974e-01
steeler .
lobe .
dissent .
canada’ .
squalor .
hid .
preval .
bloodsport .
monologu .
jackson .
unpopular .
insuffer .
wecht .
dush’ .
cosponsor .
bale .
render .
kal .
communic .
unit .
flame 2.907239e-01
appt .
diann .
lakeland .
realtor .
racism-bullshit .
kagan .
berat .
ginsberg .
evad .
tihnk .
notebook .
junko .
tribe .
technolog .
#lpfirsttim .
comingggg .
san .
francisco .
pleasant .
uniform .
las .
corner .
acosta .
figurehead .
identifi .
allege .
official .
blacklist .
1-2 .
samford .
sanford .
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kingdom .
duper .
mega .
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dat .
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🤦🏼♂️ .
file .
defam .
gore 1.557664e-01
hazel 2.790948e-02
typhoon 2.966576e-03
cyclon 2.461352e-04
helping .
carl .
yeahhhhh .
destini .
cayd .
liker .
mbapp -2.938215e-01
bang .
pl .
fuckinggg 4.354276e-01
hehe .
superior .
#hadexincurs .
#polic .
#unitedkingdom .
conadid .
awwwww .
writer .
#ge2017 .
cchqpress .
🏘️ .
natfednew .
longer-term .
partnership .
ambiti .
ground-break .
jeopard .
he’d .
gambl .
settl .
swap .
spit .
perjurer .
finnish .
salmon .
fisheri .
antle .
vest .
grest .
edwsrd .
villain .
garak .
yorker .
gift .
jami .
dimon 5.558430e-01
jpm 2.339961e-01
mile .
springfield .
worcest .
chinali .
chanvong .
wellesley .
sweatshirt .
zuckerberg .
antifa-hat .
fluffi .
🐈 .
flourish .
#friendsandfamili .
botswana .
exagger .
bing .
duckduckgo 5.096549e-01
susan .
puzzl .
achichincl 3.415983e-01
lamebota 1.055354e-01
blown .
patriachi .
hotspot .
dissapoint .
cp24 .
remember .
payers’monei .
kavanagh .
tfw 4.354250e-01
lesbian .
angie .
#election .
#headlinenew .
tuesday .
allus .
must-keep-grow .
hardcore .
bugger 4.354243e-01
seal .
ngl .
pineappl .
offf .
2k19 .
nuremberg .
sos .
#wakeupstandupspeakup .
frequenc .
#idonotcons .
#wedonotcons .
#opevidenc .
#opstopchemtrail .
#chemtrail .
#skybastard .
#geoengin .
#climatechang .
#srm .
#cloudseed .
#evergreenair .
#bigmoney .
#nexrad .
#lookup .
#silentwarfar .
#weatherwarfar .
senil 8.846663e-01
rejoic .
among .
#rinos 2.577495e-01
backbon 6.828077e-02
propel 1.196995e-02
eb .
benedict .
virul .
verbal .
licens .
💪🏻 .
#godblesshuman .
f.u .
grape .
douch .
swung .
rational .
fleet .
utopian .
lmfaoooooo .
libdem .
fkn .
#fatnixon .
digust .
2nd-tallest .
tallest .
affili .
jackoff .
#votelabour .
#ge2018now .
#wearecorbyn .
#unitedwestand .
atheist .
refuge .
precious .
meaningless .
humbl .
stafford .
rusti .
inconsist .
dread .
asfuck .
betfair .
exchang .
sportbook .
nauseat .
seattl .
insaniti .
#handcuffsforhillari 2.582387e-01
slaps .
selling .
shows .
deserves .
unicorn .
stold .
vermin .
obozo .
exhal .
shakili .
tempt .
shush .
cheeki .
hear-broken .
hacker .
determin .
kim .
sonnuva-gun .
virus .
quitter .
ezra .
shone .
minus .
sonja .
dorinda .
prettier .
1950s .
wecal .
peewe .
herman .
#ge2018 .
lawd .
sareptian .
expir .
myki .
#whatajok .
mrs .
#chines .
#chinesespi .
#california .
#justic .
#clintonemail .
#californiawildfir .
#redpil .
#factsmatt .
#factson .
#makecaliforniagreatagain .
#dnc .
#liberallog .
#truth .
#newyork .
#state .
#vote .
#governor .
sharpest .
telesmokacatin .
#jesussav .
🙏🏼 .
#connecticut .
praaaaaaaaaye .
unhinged 2.316186e-01
slob .
opertunist .
opertiunist .
shovel .
eating .
blink .
e-mail .
whi .
beena .
high-shcool .
societ .
subsect .
aand .
beast .
lolololololololo 3.283416e-01
democ .
derail .
triumph .
text .
#exposethedeepstate .
#enemiesofthest .
#militarytribun .
cartel 1.227601e+00
depart 2.615796e-01
privaci .
masculin .
japanes .
wmas .
compos .
rinos 1.729645e-01
cfo .
#googlearecorrupt .
#bestuseqw .
dnc’s 5.107621e-02
profound .
c'vill .
whooo .
🖕 .
legitam .
bizarr -8.530873e-02
connor .
gameplan .
9-20 .
prep .
salt .
nutbar .
todd .
generous .
rocker .
unfortunatemi .
cold .
cal .
weaver .
auto .
bend .
alzheimer .
wallac .
shep .
quarterback .
jot .
roy .
misogyni .
#thehandmaidstal .
🍎 .
cosbi .
pepper .
fuckingndbs 3.415836e-01
funnyhejs 1.055465e-01
illogic .
walkaway .
happenin .
equaliti .
sniffl .
cecil .
anderson .
viewer .
ssm .
muck 1.005302e+00
populist 1.327818e-01
latt 2.714261e-02
schmooz .
#putin 1.152319e+00
helsinki .
#libtard .
bask .
quiz .
fuckbucket 4.354218e-01
curtin .
veer .
#kavanagh .
calif .
proport .
fresh .
ari .
melber .
articul .
extend .
congrat .
whiner .
oligarch .
hawk .
pro-russia .
#votedemsout2018 .
generic .
whr .
annual .
2.5bn .
33bn .
35bn .
despair .
chos .
#dogwhistl .
ababzhah .
uncomfort .
awak .
🏴☠️ .
#public_executions .
scroll .
colonel’ .
recip .
neglig .
oprah .
winfrey .
vial .
whacko 3.685046e-01
zealot 1.147143e-01
thw .
gooo .
shittin .
nube .
cohes .
newsweek .
#deepstatepan 2.904211e-01
newsweek’ 7.331808e-02
circul .
edit .
watchin .
edg .
baekhyun .
🙇♀️ .
inact .
😥 .
bcz .
assign .
tata .
👋🏻 .
shes .
bonet .
wiper .
#protecckais -2.974427e-01
sweetheart .
godamn -8.247052e-02
sole .
weigh .
#morningjo .
deter .
agreeabl .
chum .
bullsh 3.655381e-01
frontlin .
actuali .
skype .
wa .
ct .
otherwis .
mindset .
crucial .
heartbreak .
tow .
explosiv .
indic .
#micropoetri .
big-top .
blasé .
underneath .
glorious .
jd .
thwart .
weaponized .
massacr .
missouri .
gutiérrez .
dilig .
angl .
payment .
ama .
ambitious .
🐦 .
defends .
pedophelia .
politicized .
science .
riots .
superstiti .
#treasonousgover 6.453995e-01
shell .
cring .
intelligent .
peddl .
uhav .
dive .
hurri .
nutcas .
franki .
ottawa .
educat .
shadi .
#ruleoflaw .
#countryoverparti .
#withdrawkavanaugh .
mel .
gibson .
lang .
hardship .
#francisaglabtin2tulognalang .
optimist .
gon .
crib .
😙 .
uns .
fixola .
ahha .
epitom .
infring .
infridg .
cattl .
tanzania .
underoath .
knack .
elev .
#first 1.287173e-01
illig 2.373558e-02
#poland .
#boomingeconomi .
foriegn .
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symptom .
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rebuild .
averi 7.203609e-03
#p2 .
toe .
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confidenti .
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goodness .
iya 2.777129e-01
risi 8.104599e-02
widow 1.535772e-02
5children 2.328355e-03
ehav .
cthulhu .
cred .
harvard .
conduct .
benghazi .
life-long .
heal .
breaker .
#paytoplay .
gofundm .
200k .
society’ .
#freakyford .
bec .
grammar .
par .
critiqu .
well-paid .
editor .
slip 1.243632e+00
sb .
malfeas .
flier .
mail .
so-and-so .
elo .
thee .
booter .
exposer .
techniqu .
🙌🏻 .
bicker .
hitter 2.833527e-01
snead 8.163574e-02
wr 1.540919e-02
kaze 4.354178e-01
franchis .
salad .
nahhh .
hail .
mari .
backfir .
ginsburg .
c-span .
tangl .
weav .
#wemakeamericagreat .
seinfeld .
jk .
juanita .
broderick .
usa2 .
venezuela .
move2 .
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shed .
loudmouth .
goodwin 3.415624e-01
grop 1.055615e-01
pee .
peed .
ipad 3.632791e-01
📱 1.153160e-01
phobia 2.428040e-02
🐕 .
graph .
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pressur .
11th .
ambush .
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esteem .
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treacheri .
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tension .
dagenham .
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damsel .
distress .
jane .
#defendthesecond .
#shareact .
#nocompromise .
#rememberyouroath .
#nraun .
ib .
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cherish .
utmost .
postcard .
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#believe_hyunjae_dai .
#너의존재가_기적이야 .
gunsight .
anti-trust .
shaddowban .
misfit .
unsuccess .
worshipp .
throne .
toilet 4.354157e-01
goodluck .
row .
carryon .
bulkhead .
flight .
flori .
leah .
curti .
kl .
realm .
sense .
foresight 2.652687e-01
mai 7.280908e-02
political .
suicide 1.309771e-02
g.e 1.913642e-03
naziism .
urg .
winston .
shown .
ant .
relitig .
#banter .
shade .
bionic .
brandon .
sprint .
neocon .
marlow .
stranahahn .
initialli .
occur .
cafeteria .
fuss .
messiah .
sycophant .
twat 4.986017e-01
crow .
fonda 1.111791e-01
#wa .
#police .
certif .
#combat .
#thinbluelin .
#bluelivesmatt .
#lawenforc .
probe .
unprofession .
reloc .
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accuraci .
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hedg .
mayor .
cold-but .
nintendo .
grub .
equip .
#causal 6.939737e-02
lawmak 1.075850e-02
pre-exist .
scofflaw 1.059514e-03
causal 8.296674e-05
#cohort 5.633851e-06
twtich .
grasp .
meltdown .
bjp .
karyakarta .
myyi .
mccain .
resistance .
defcon .
wuppert .
#keithellisonabus .
#maximeberni .
#liberalvalu .
#donpitti .
newsman .
rum .
infus .
spice .
mantra .
urin 3.410694e-01
viewpoint .
snl .
beani .
mindmil .
leukemia .
athlet .
wench .
spout .
drivel .
brighter .
#ijustdontseemyself .
#liberals4gun .
#gun .
there .
satisfact .
incap 1.527013e+00
sect .
episcopalian .
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unawar .
adhere .
cameron .
osbourn .
debacl .
158bn .
miracl .
podesta .
valeri .
tin .
hatter .
deplorable .
irredeemable .
gropi .
dregs 1.105522e+00
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playlist .
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ye 1.133131e+00
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flotus 3.257050e-01
egregi 1.029917e-01
potus’ 2.140064e-02
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#doj .
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#cia .
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paramilitari .
solidifi .
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harwood .
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england .
attn .
spotlight .
o’neill .
rode .
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🐷 1.331426e-02
dens .
40s .
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#declassifyfisa .
#itstime .
otherwise .
friends .
needs .
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educate .
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haley .
brighten .
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steel .
changing .
#leadership .
#respect .
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#god .
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#theusa .
#tds .
#walkawayfromdemocrats2018 .
oakland .
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myy .
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blocker .
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assist .
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lancet .
#femfraud .
#maddow .
arts .
#saveamericafromdemocrat .
servitude 4.354133e-01
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apologis .
bodysham .
robin .
homeland .
#walldoesntprotectfromamerican 3.910201e-01
#ny18 .
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unload .
kettl .
obey .
#houseoflord .
#labourparti .
#showerofshit .
lebron .
compass .
scrap .
theorist .
radical .
de-platform .
karma .
ump .
disreput .
619-513-5555 .
llook .
sammi .
outnumb .
derwin’ .
3-4 .
floodwat .
salinski .
mindless .
rawr .
wrangler 2.246968e-01
government’ .
venom .
spiderman .
soni .
skip .
percentag .
#12 .
abuser .
extens .
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❓ .
😔 .
🤦♂️ .
alter .
timelin .
snooz .
#rightsideofhistori .
magnifi .
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bieber .
westminst .
bulshit .
cear .
#grenfel .
tenant .
merit .
bitchhh .
oatmeal .
#drumpf .
🌊 .
🏳️🌈 .
axe .
queue .
bencher .
sided .
shadow .
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ona .
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pdp .
publish .
#gop .
slut 8.800846e-01
powerless .
uncomefortbul 3.556867e-01
urban .
naxal .
googlecid .
don’t-be-evil-corp .
oligarchi .
eras .
transform .
western .
totalitarian .
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norman .
rockwel .
viabl .
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lite .
progressiv .
#whataretheyhid .
wants .
joining .
hormon 1.657096e-01
testosteron 3.188476e-02
glorita .
✨ .
🇻🇪 .
fuckidng 3.256932e-01
perhaps 1.029977e-01
tears 2.140279e-02
colon .
vag .
thirti .
zayn .
jdkdkdk .
makes .
emo .
revolut .
#usconstitut .
graham .
baaaaa 6.482473e-02
#nfl .
#freealexjon 6.706258e-02
liketak .
jacobit .
bonni .
charli .
prais .
frenkenstien .
stolen .
pt .
comet 4.853061e-01
palin .
🙃 .
#left .
#lisapag .
#muellerinvestig .
sin .
purifi .
unright .
5-9 .
greenish 2.450588e-01
tint 6.842022e-02
greenhous 1.247039e-02
gase 1.835050e-03
tongue-in-cheek .
psychiatr .
counter-intuit .
larger .
wrinkl .
theyr .
#rulesforrad .
drove .
gruber .
naw .
mama .
chu .
comprehend 3.469399e-01
mo .
subvers .
trauma .
#illegalalien .
#405 .
fwi .
wiccan .
tuna .
brisket .
causat .
𝙿𝚎𝚝𝚊𝚕𝚜 .
𝙼𝚌𝙿𝙾𝚄𝚃𝚂𝙵𝚊𝚌𝚎 .
¬ .
boost .
vain .
#closet .
spox .
#coupl .
incens .
newli .
#gay .
#lgbtq .
#lgbtqtwitter .
#bluewav .
yuzusft .
mod .
dl .
selfish .
seek .
depth .
ch .
muzzl .
clone .
#feshey .
tip .
glutton .
drinker .
imaginari .
penchant .
toenail .
gail .
has-been .
shini .
barbz .
remi .
nicki’ .
flow .
rodgers .
heroics .
hooligan .
mayhem .
cutter .
stonecutt .
decade .
dup .
#2 .
legislation .
unintent 6.639343e-02
fukin .
twinsi .
resembl .
lincoln .
hindu .
dough .
pastri .
plate .
puri .
asma .
saviour .
ricardo .
rosello .
terrifi .
roselló .
regrann .
trump_babes_2020 .
#trumpbab .
#trumpbabes2020 .
#trump_babes_2020 .
#milfsfortrump .
#babesfortrump .
#babesfortrump2020 .
yessssshhhhh 3.231408e-01
shitgul 1.026432e-01
ryme 2.135819e-02
😚 3.578108e-03
antidepress .
visuals .
#presid .
#demsuck .
warning .
caution .
whenever .
liberal .
thinking .
details .
moore's .
definition .
borders .
squelch .
depict .
opressors .
championing .
czech .
#twitterpurg .
✅ -3.790931e-02
loses75 .
#twittercensorship .
wouldnt 3.415243e-01
#1linew 1.055877e-01
#sdlive .
roster .
elizabeth .
warren .
wire .
exit .
mediat .
knuckl .
dodg .
creddi .
hunch .
pleaz .
should'v .
11-year-old .
91st .
percentil .
13yo .
5'8 .
overdos .
ariana’ .
edgi .
soft .
trope .
dramion .
🦇 .
predictor .
conscienti .
singer .
miscreant 3.050039e-01
bezo .
distant .
#drellenbrandt .
🐇 .
girlfriend .
psyco .
microphon .
biblic .
scholarship .
bart .
ehrman .
schlock .
assume .
2be .
pharmacist .
showmanc .
compris .
soy .
hillary .
waa .
hoo .
♡ .
fast-forward .
besti .
eachoth .
quantiti .
showcas .
leo’s .
dina .
claudia .
stubbi 4.110481e-01
dubakoor 1.560803e-01
mumtaj 8.992228e-02
leech .
💚 .
multivers .
ideia .
cellar .
dexad .
livid .
ascend 3.782916e-01
ouch .
lmfaoo .
sniff 2.177021e-01
christine .
th .
sexism .
eto .
ba .
hindi .
wheel .
booti .
jihadi .
supersized .
o’rourk .
cartoon .
#mockingbirdmedia 1.029523e-01
#releasethevideo 5.667031e-02
#qanon8chan .
buyout .
wherein .
#robberi .
#murder .
#selfdens .
#defend .
#secondammend .
invader .
homeown .
moffat .
clara .
undercut .
posh .
braini .
qt .
surgeon .
dentist .
them.feck .
#scruffbag .
aaaahh .
scribe .
tini .
manti .
#releas .
carreen .
lecor .
fish .
sportsmanship 2.595688e-01
eject .
unproven .
straw 1.135937e+00
#notplast .
joan .
arc .
tumblr .
unlike .
qualified 4.354029e-01
hamstrung 3.129545e-02
abso-fucking-lut .
clinton’ .
#projectr .
favour .
tax-dodg .
#exitfrombrexit .
#endthechao .
#stopbrexit .
#finalsay .
20yr .
leftov .
foulmouth 5.501513e-01
exec .
flirt .
briberi .
psyop .
upsid .
ditch .
lazili .
thirsti .
#britishtorycarcrash .
#toriesout .
betcha .
untru .
slim .
🙇🏾♀️ .
kit .
agressive .
mvp .
plays .
volume .
settings .
typing .
caps .
deaf .
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roi .
🎸 .
ayers .
🎷 .
thingi .
languas .
whit 1.909531e-01
actualiti .
she’d .
char 2.922688e-01
bingo 3.269686e-02
vid .
#betoforsen .
hubbi 1.073433e+00
moli .
#falseprophet .
#lunat .
alejandro .
orwell .
mr.redwood .
recours .
sue 5.360023e-01
discont .
uninform .
#kavanaughconfirm .
#kavanaughwithdraw .
#kavanaughscotus .
#thescor .
ka .
ng .
💐 .
🌹 .
hiphop .
minsan .
#notmypop .
sucess .
spectrum .
morrow .
extinct .
#medicar .
#medicaid .
disabl .
#welfarefoal .
obama-vomit .
doofus .
woodwork .
baseless 5.291097e-01
beforehand .
com .
mouth.wrong .
reprehens .
voters .
#rnc .
clip .
circular .
#good .
sleazbal 2.318537e-01
#walkingaway 5.706767e-02
enthusiast .
snp .
well-known .
user .
256gb .
zoe .
👽 .
dirtbag 4.192771e-01
what-platform .
fundamentally-restoring-america .
konk-u .
ur-lamebrain .
gavel .
fantas .
sweat .
mushroom-cap .
erect .
#nickidagoat .
36-year-old .
uncommon .
investigation .
cc .
obtain .
refund .
blake .
stat .
garner .
pawn .
baby-adult .
#sheisaliar .
uhhh .
ao3 .
fic .
alaska .
decim .
tpp .
#tpp .
fucken 1.059270e+00
dinosaur .
steinbrenn .
bakersfield .
illiter 1.231299e+00
#nospeakermccarthi .
mobil 3.258742e-01
#julieburchil .
nme .
mag .
vacuous .
courtesi .
spineless .
eejit .
ingles .
rei .
evangelion .
jam .
harley .
orang .
rouda .
1994-2004 .
🇵🇷 .
shabbi .
penn .
desperate .
bbcan2 .
tier .
knuckledragg .
granddaught .
stuf .
yoga .
cephal .
clinic .
meth .
gettimg .
#mediabia .
obscene .
bags .
deem .
chiraq .
obum .
1-3 .
#cowboywayal .
#faithcattleco .
#godfirst .
#loveurfamili .
#bubba .
#codi .
#booger .
october .
kirk .
dougla .
fri .
spanish .
compli .
boarder .
xo .
crosser .
bail .
o.k .
irreplac .
president's .
supporters .
d'etat .
#greatawakeningworldwid .
#joebiden 4.570024e-01
misha .
talented .
adore .
secular-progress .
archetyp .
kw 3.993439e-01
informat .
#bluerippl .
#kateswal .
#obamaspygate .
#noamnesti .
#nodaca .
differenti .
obei .
prey .
imprec -2.864201e-01
igor -9.383660e-02
eschew -2.089007e-02
virgin -3.771329e-03
partaken -5.862126e-04
gm .
crop -8.123214e-05
eyes .
condescend .
gutter .
snatch .
administ .
attribut .
#cult45 .
mope .
def .
deject .
apathet .
tackl .
bestdj .
hardwel .
zerin .
bangladesh .
shitless .
brass .
justwank .
appropi .
#latinosfortrump .
hfjdhd .
infin .
#everybodyin .
wide-ey .
recoil .
kentucki .
#tooliberalfornki .
sftv .
invas .
widdl 6.434054e-01
vrc .
flabbi .
tail .
gallon .
squirt .
assembli .
bradley .
amir .
wortless .
hste .
somon .
thre .
root .
stem .
resent .
armchair .
comes.petit .
nfl.the .
word.w .
forgiveness.america .
neighbourhood .
studio .
demograph .
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ᶦˢ .
ᵗʰᵉ .
ᶠᶦʳˢᵗ .
ˢᵗᵉᵖ .
kb .
mous .
fps .
unrealist .
keyboard .
crybabi .
#cancelsouthpark 2.242200e-01
suckin 5.609631e-02
momma 9.210491e-03
titti 1.254573e-03
woodstock 1.501522e-04
june .
shower .
siri .
abject .
keemstar 3.256379e-01
popin 1.030279e-01
ook 2.141532e-02
malign 3.290657e-01
narcissist .
shud .
🦊 .
10kg .
dier -1.458763e-01
durham -2.641271e-02
pish -2.836630e-03
airtim .
abomin .
layn .
#crookedhillari 3.337830e-01
#dregofsocieti 1.010069e-01
#cancel .
using 6.024819e-01
covent .
transport .
iguana .
beetl .
🤦🏾♂️ .
clairvoy .
deed .
inconceiv 2.421352e-01
double-mind 6.330369e-02
peacemak 1.088602e-02
acorn 5.890636e-01
astonish .
gal .
frend .
yoll .
mazzon .
passer .
6th .
#ipledgetovot .
#redtoblu .
hahahah .
blog .
scooter .
wagon .
perpetu .
mini .
bolshevik .
lawsuit .
whatbour .
handout .
timid .
skiddish .
wretch .
homework .
minute .
unprepared .
business .
cobble .
proposal .
together .
survive .
spicer .
happier .
long-term .
certainti .
🏘 .
brill .
remainiac .
enslav .
commsion .
fanat .
farewel .
packer .
bib .
pious 2.783099e-01
spiritu 8.270437e-02
cardboard .
haunt .
cardigan .
detroit .
owen .
aparachnik .
whisper .
#nope .
#foster .
kp .
detect .
attitud .
bubbl .
#rebekahismoftheday .
gaf .
christina .
courtney .
hadwin .
amateur .
🌟 .
packet .
➡️ .
manni .
rebutt .
plelleeaaaaseeeee .
sobbed .
looking .
sleeeeeeeps .
withdraw.h .
hurtng .
person.th .
ovat .
not-worth-stand .
prohibitionist .
belittl .
#nothinglow 7.708069e-02
thinks .
òne .
imposit .
inauthent .
citizenship .
smoken .
establishmnt .
inbr .
lucifer .
junctur .
#reversepc .
kei .
rebuk .
#kkk .
klan .
#whateverittak .
sami .
killing .
relativ 2.155689e-01
cheating .
badass .
infract .
raker .
cull .
millennium .
loiter .
underground .
yaaa .
toolbox .
inanim .
novel .
pod 2.378634e-01
pond .
mon .
#toxictori .
chariti .
#toriesmustgo .
#dissolvetheunion .
mf .
mein .
kampf .
virtue-sign .
anti-first .
pornhub 4.353959e-01
ashes .
drum .
cheapen .
ex-gf .
shitbiscuit 4.353953e-01
temp .
candac .
inmat .
#big .
ashwariya .
sandrayan .
bigboss .
strateg .
electron .
goper .
sleazi .
collaps .
dementia 2.297435e-01
indie .
noun .
synonym .
pleeeas .
lewi .
ripoff .
#cdnhist .
#serenawillam .
#coach .
themfaux .
taint .
grader 8.082642e-02
putin .
jun .
🐒 .
#robertsroom .
petersen .
payoff .
skirt .
subsidi .
10-20 .
complex .
unfit 6.169622e-01
bitchi 4.584215e-01
rezz .
bnf .
bankrol 1.123719e-02
doze .
jolt .
#loonyleft .
superstar .
tend .
durabl .
nvm .
lmaooooooo .
squirm .
thugaratti .
injure .
yiannopoulo .
fulk .
fought4 .
insepar .
2defend .
guns .
pieces .
platforms .
bread .
24-7 .
brokeback .
valor .
wth .
impulsiv .
ocasio-cortez .
40t .
#wakeupamerica 4.484158e-01
gallup .
record-low .
drift .
that’ll .
dissatisfact .
bytch -2.987933e-01
prolli -8.413245e-02
oughta -1.556841e-02
uncivil .
#lickawitch .
griexsevia .
paris .
breathe .
grover .
princess 3.414674e-01
toadstool 1.056310e-01
syntact .
glorifi .
fantasi .
fixat .
syndic .
boc 3.083177e-02
#fakedrugwar 4.829580e-03
trough .
domin .
persona .
grata .
damor .
bf .
generalis .
meter .
irish .
gdp .
migrant .
kidnap .
3k .
rican .
🤷🏼♂️ .
wrought .
erni .
#binnedbori .
lyin .
lynton .
cur .
horsey .
sauc .
arbys .
fry-frosti .
wendi .
ignorant .
sandwich’ .
wine .
paltri .
trillion .
denuclear .
oil .
escal .
goldi .
nedia -2.938543e-01
rag .
deb .
sleepi .
gemini .
unpredict .
kahlili .
aries .
snap .
murdoch .
#likenooth 3.254774e-01
#gamestopcontest 1.031572e-01
croft 2.144144e-02
phoney .
#shrewd .
semit .
gilmour .
cillizza .
cynic .
bick .
kany 3.414649e-01
#imwithsnoop 1.056325e-01
alos .
4k .
#cocktribut .
#cumtribut .
cumslav .
eddie .
l’s .
w’s .
cupcakes .
relief .
neutral .
snow-flak .
#fear .
#bobwoodward .
handler .
word.ther 1.322260e-01
shotguns.th 2.373224e-02
#strauss .
missoula .
#montana .
bron .
slave-own .
granular .
shallow .
withstand .
failure .
tommi .
#hollywood .
worry’ .
7y .
raccoon .
bike .
massive .
daveb .
simb .
bored .
snuffi .
#serenawilliam .
afp .
#stopthebia .
#freespeech .
#twitter .
evidence .
#toolate .
interf .
jobless .
dow .
poni .
aj .
nahin .
tum .
ko .
marna .
worlder .
cloud .
gió .
ngài .
thu .
năm .
beryl .
gazell .
flee .
gentlewoman .
#lulz .
iber .
orient .
facet .
#narciss .
mafia .
#joke .
#patrickmouratoglou .
sideway .
#gender .
#equal .
#cheat .
#accountabiliti .
gator .
🐊 .
beard .
skint .
boast .
wtc .
funeral .
attended .
hinduism .
kung .
cindi .
hyde .
disconnect .
goddamn .
recipi .
precinct .
dumbfuck .
implod .
anarchi .
lili .
🐑 .
rs .
marsha .
blackburn .
martha .
mcsalli .
arizona .
tennesse .
supression .
polls .
#midterm .
govon .
koolaid .
bloat 3.539072e-01
mild .
ds .
nv .
struck .
suckag .
#t 7.367196e-02
losser 1.121884e-02
polutician 3.414605e-01
baba 1.056349e-01
brigitt .
gabriel .
alarm .
secret.th .
seen.liber .
alphabet .
congratz .
contamin .
dv .
shir .
couldnt .
leavem .
oregon .
#farright .
#leader .
#quoteoftheday .
#notrust .
#noconfid .
#crimesynd .
#mafia .
#criminalsinuniform .
#criminalsoutofnumber10 .
#gtto .
hoot .
birmingham .
🌈 .
buttmunch 9.614677e-02
fuk .
heirloom .
duh .
februari .
skinnier .
taser .
#qarmytrain .
landon .
jason .
bruce .
wore .
asham 1.567169e-01
shitt 4.353915e-01
hyperbol .
demot .
ohr .
lake .
intratec .
mac-11 .
multipli .
unplay .
houston .
sheesh .
wander .
falsifi .
clarif .
vampir .
strand .
ghana .
sonnet .
immediar .
fodder .
sheriff .
runcie .
kids .
rudi .
#dtmag .
gabbi .
gifford .
pro-2a .
cower .
desk .
kyle .
🇸🇻 .
cube 2.500312e-01
investor 6.439405e-02
puffi .
#votey .
#innoc .
davido .
oga .
madam .
haterz .
chop .
leia .
saggi .
whitey .
talkin .
#sjw .
sweden .
genderless .
🤟🏼 .
nguni .
spoken .
msuthu .
umsuthu .
translat .
mosotho .
sesotho .
muntu .
umuntu .
chat .
prepared .
10m .
poison .
vesha .
boob 1.232456e+00
diss .
slide .
playin .
riddanc .
blasé-ford 4.746796e-01
harrass 1.734742e-01
spooki .
#teaparti .
#trump2018 .
wunderkind .
#alleg .
ladder .
estat .
builder .
hallo .
thinx .
bin .
bori .
momentum .
buckl .
cologn .
double-talk .
facad .
dangerous .
obnoxious .
garbage .
shu .
#boom .
#fisadeclassif .
#trustsess .
#swiftgpi .
cross-bord .
#payment .
#bfnewyork .
sneak .
#livedexperiencedisevid .
#emmi .
#boycotthollywood .
traditionalist .
fuddy-duddi .
horsesho .
chivalri .
dutch .
💃 .
paragon .
chairperson .
vote.if .
exculpatori .
s.o.b .
pharise .
discust .
greg .
pitti .
prob .
pillow .
imp .
abstin .
franc .
french .
never-end .
radio .
rice .
lmfaoooooooo .
cuas .
laught .
standin .
becoz .
#liberalsmustgo .
#gonein2019 .
gunsling .
usa_gunsling .
2017-08-12 .
nou .
wat .
een .
desinfo .
rosh .
hashana .
winthorp .
iii .
ophelia .
cut-down .
right-wing .
wal 3.775676e-01
mart 1.309078e-01
lumpenprol 3.052926e-02
transphob 5.336232e-01
penc .
lurch .
caption 4.059822e-01
leukemia’ .
man.if .
deleiv .
pk .
forefath .
hyukjae .
watching .
fancams .
ashley.yr .
comfortable.hey .
bridget .
2b .
show.i'm .
diehard .
happiest .
#bringbridgethom .
#bringbridgetback .
frequent—and .
decay .
volient .
monopol .
grandkid .
holier .
sippin .
fetus .
pregnanc .
miscarriag .
wana .
rifles .
deliver .
oba .
jefferson .
davi .
atf .
preposter .
facilit .
fed 1.517287e-01
reign .
cheerlead 2.861622e-01
chunki .
monkey .
rightw .
handshak .
naturalis .
ceremoni .
#biden .
#ukrain .
ukrainian .
#zog .
trump-russia .
#liberalfool .
tarmac .
effici .
adolf .
#wisdomwednesday .
monkeys .
throwing .
expressli .
mccartney 1.143015e+00
gauteng .
ahahahahahaha .
vaal .
lekwa .
tshwane .
thular .
lemon .
faint .
#ibelievechristin .
braveri .
hideous .
#womenarewatch .
#votethemout .
neccessarili .
huf .
invent .
touché .
dos .
update .
resum .
#novemberiscom .
gene .
flat-out -6.104691e-01
freddi -3.481604e-01
mercuri -1.487347e-01
biopic -5.322059e-02
gig -1.650866e-02
standup .
er .
conservative’ .
layperson .
decompress .
oppotun .
truth1 .
billboard .
trustworthi .
#va10 .
you’d .
eve .
judic .
teeth .
feign .
center-left .
occasion .
lokk .
antifa’ .
#disgust .
methink .
bernie’ .
rural .
re-form .
balls 4.353891e-01
romford .
browni .
dougi .
mastercard .
rough .
mathemat .
ultrafinitist .
awhil .
#toosoon .
#florida .
ron .
desanti .
feinstein-back .
nics .
expans .
omnibus .
tucker .
carlson -7.371168e-01
malici .
scampi .
nik .
nak .
obscur .
#donaldtrumpr .
#featur .
#springfield .
brazen .
#votethemallout .
cowork .
bubbler .
goos .
unforgiv .
forgiving .
drag .
horrible .
james .
#senat .
jen .
sincero .
staf .
mythic .
romper .
sidelin .
burst .
sunday .
sareena .
hannah .
contortionist .
glc .
mc .
va .
becaus .
panera .
grappl .
beatdown .
overgener .
🔨 .
2grd .
fiona .
florida .
abound .
abi .
nba .
deliri 4.353883e-01
tombston .
#ripm .
pffft .
interfac .
pari .
sensat .
rethuglican .
disis .
barrack .
tremend .
breaking .
9th .
circuit .
dino .
odia .
amorph .
faceless .
everchang .
jerom .
corsi .
stress .
trashi .
magyar .
nemzet .
népszabadság .
#swagodk .
viktor .
cherri .
oakwood .
hostess .
colleagu .
anjali .
van .
drie .
associat .
analysis-charl .
kimber .
#aba .
#championforfamili .
caucasian .
colombian .
especiallysen.kennedi .
antifastock .
jew .
softest .
💁🏽♀️ .
🌚 .
🙈 .
cfb .
#tbt .
9pm .
tammi .
wynett .
bimbo .
#superman .
pleaseeeee .
#bitchut .
creepier .
reliv .
anti-pernicketi .
hap'peni .
camila .
mend .
alien-ileg .
absente .
amounting .
jwb .
sayn .
#redwaverising2018 .
#txsen .
#keeptexasr .
#tedcruz2018 .
#voterid .
#walkawaycampaign .
#liberalh .
#liberalintoler .
#socialistli .
#vetobeto .
notabl .
#dearprofessorford .
should.hav 3.809323e-01
dhanya 1.212561e-01
x2 .
whoa .
#pp .
#womensmarch .
#maxinewat .
#hillaryclinton .
17-year-old .
53-year-old .
jurist .
tad .
reinforce .
nytime .
stiffen .
hip .
maiden .
unaccustom .
scrunchi .
croc .
pea .
elon .
batch .
vessel .
#thailandchildren .
listening .
criticis .
standardis .
p1 .
contriv .
obstacl .
forese .
pcs .
ches .
egghead .
obnoxi .
phase .
difficult .
#hungari .
#tyrann .
#dictatorship .
#thirdreich .
8th .
demens .
#trumpderangementsyndrom .
monica .
lewinski .
winter .
gem .
formal .
nationalis .
acta .
verba .
#resisttrump .
sure-tragedi .
bethesda 1.817045e-01
gangsta 3.602196e-02
yucker .
interrupt 7.752903e-01
#michaelavenatti .
seconds .
leveon .
dumbest 1.040273e+00
yds .
notong .
doesent .
transgend .
justin’ .
eddandflow .
snapchat .
how’d .
merkel .
southpol .
maaßen .
antifa-spad .
spade .
childish .
#parti .
#partylit .
subj .
#mythicalcreatur .
#professor .
#ar .
dolt .
schizo 8.845024e-02
culo 4.353862e-01
shimmmi .
players .
puke 1.266218e+00
pool .
lier’ .
reli .
honored .
included .
rena .
dean .
trashpeopl 5.336196e-01
input .
#messedup .
flock .
outright .
twentieth .
schumer’ .
chickschum .
#kavenaugh 7.963855e-01
#fridayfeel .
#demdirtytrick .
speedster .
office 3.677290e-01
digniti .
seems .
shooting .
police .
brutaliti .
happens .
surfacing .
#socialjustic .
pursu .
#fascist .
#identitypolit .
huuge .
multi-n .
corp .
pai .
ave .
ghetto .
uc .
missus .
baaaaaaaa .
#sickhold .
greasi .
cheesi .
negarrrr .
#cruz .
anatomi .
crewneck .
hangri .
commiser 2.478893e-01
brioch 7.031523e-02
cinnamon 1.310901e-02
sear .
lotta .
yeti .
handiwork .
underestim .
tx .
terri .
porter .
pi .
osu .
alumn .
hernandez .
mame .
footag .
#winblue2018 .
#uniteblue2018 .
feloni .
intrud .
merrick 1.285243e+00
garland .
thru .
yutz .
cos .
oute .
lowcut .
hometown .
☺ .
snob 2.099753e-02
shook 3.457466e-03
negative .
coverage .
says .
delusional .
taco .
assess .
guillotin 1.275068e-01
#patriotsunit .
#godblesstheworld 2.800194e-02
#godblessourmilitari 4.273235e-03
#100thmonkey 5.578310e-04
vg .
hc .
#foolish .
#idiot 1.222899e+00
immor .
#letsgovern .
ahhhhhhh .
amish .
jaquonadiah .
croock 4.353842e-01
#stopbrexitsavebritain .
aclu .
omarosa .
tic .
tac .
automat .
magnet.just .
kap .
thrilled .
lieber .
dilling .
humanitarian .
#syria .
#israel .
#liberalismisamentaldiseas .
#sugardaddyneed .
rocki .
☆ .
korean .
kool .
thickest .
flick .
ego .
runaway .
confederaci .
foreclosur .
awb .
screech .
should've .
prevented .
unga .
bunga .
sucks .
dummies .
item .
rm20 .
rm60 .
milo .
actress .
whoaaa .
😝 .
kinki 7.287644e-01
fr .
ec .
onomi .
u2 .
fuckingclass 3.997182e-01
failed .
#obamaworstpresidentev .
outrank .
itali .
iq .
crochet .
doili .
fenc 2.859164e-01
thgs 7.279856e-02
pms .
wand .
craley .
byrd .
#corybook .
tw352 .
#redtsunami .
#buryblu .
#startvettingsen .
#startvettingcongressmen .
illog .
melbourn .
physiqu .
ppc .
unrol .
fir .
🤖 .
widespread 5.620492e-01
nation’ .
orbit .
🙌🏼 .
bureaucrat .
graphic .
shelf .
librarian .
habitu .
liar.they .
member.insan .
yrs.if .
complancey .
patti .
prone .
xx .
copycat .
#altright .
cod .
monitor .
festiv .
stanley .
nelson .
burrard .
fake-republican .
nunez .
whin .
alpha .
omega .
20hr .
stl .
starter .
gilliam .
moustach .
lax .
#altleft .
simmon .
must'v .
vis-à-v .
achtung .
hungarian .
tunisian .
#didyouknow .
#helenkel .
textbook .
#doyouknow .
#txboe .
#txed .
#themoreyouknow .
keller .
bandwagonist .
smi .
tl .
bfa .
rift .
pummel .
shrug .
shoulder .
doomentio .
akkad .
h1b .
unscath .
librari .
patron .
seven .
disclaim 3.925364e-01
necessarili 1.305379e-01
vagina .
leaflet .
mentions .
alik .
gimm .
acc .
quarter .
farrakhan’ .
lwhen .
loud .
shaft .
shafticus .
#lionsden .
🦁 .
#maga2kag .
nooooo .
envi .
presed .
alumni 1.976428e-01
#christineblaseykavanaugh 4.471800e-02
decenci .
lies 8.073795e-02
choke 3.297952e-01
nbd 1.002367e-01
#moronsaregoverningamerica 2.007802e-02
caster -2.570110e-01
td .
annie .
tale .
laud 3.795784e-01
alt-media 1.346004e-01
soros-shil 3.199422e-02
shithead 6.159830e-03
canni .
somecunt .
banana .
spike .
kerr .
dunt .
#progress .
#gpc .
#michaelmoor .
fudg .
bacon .
shelv .
10th .
painter .
cnnmoney .
masterb 4.353802e-01
rampant -1.194581e-01
stagnat .
bush .
rogu .
galleri .
nevertrump .
🌞 .
yooooo .
countrymen .
#democratsdividinganddestroyingamerica .
#losangel .
non-citizen .
pyramid .
unfirtun .
bj .
giver .
poorer .
advisor .
placat .
#woke .
kingggg .
janet .
yellen .
churchil -4.212589e-01
admonish .
preposit -1.602227e-01
punchlin -4.119570e-02
gasses 1.171427e-01
#fakenewsmedia .
noooooooo 3.594223e-01
extermin .
mumbl .
vietnam .
supremo .
chi .
minh .
jfk .
lbj .
turnov .
#kavanaughhear .
intersect .
slot .
newspap .
weaponis .
names .
lordi .
bk .
perjuri .
cotus .
shorter .
lest .
titties .
spontan .
😗 .
temperament -8.052196e-02
pamper -1.170641e-02
multi-millionair -1.103760e-03
crave .
nude .
bovin .
fecal .
regrett .
#health .
#natur .
#us .
49er .
kc .
niner .
prejudic .
conclud .
migrat .
arbitrari .
distinct -5.618973e-02
untrue .
weakl 5.336122e-01
madison .
anti-presid .
sunken 4.353773e-01
#roseannebarr .
inexcus .
sunk .
#muslimbrotherhood .
#prioriti .
#blacklivesmatt .
#unite .
#growthenetwork .
#thestormisuponu .
#theeyeofthestorm .
#iloveamerica .
#allinonlonnieisntfunni .
#marchonfromwalk .
condens .
#evangelist 3.414032e-01
spook 1.056747e-01
overton .
ap .
wsj .
hyper-partisan .
linda .
sarsour .
ocasio .
lend .
heifer .
sombodi .
smolder .
atti .
genl .
labamba .
sheister .
fordfestnd .
hundert .
#simonsay .
viney .
melksham .
#rhoni .
addit .
comments .
regarding .
deaths .
yai .
demagogu 3.818483e-01
warcraft .
limn .
every1 .
regulated .
law—those .
near-univers .
armament .
contemporari .
home—bi .
constitutional .
obvious.ar .
partyveri .
pog .
kgo .
sensit .
#panicindc .
bulletproof .
vortex .
dufus .
#govegan 1.206658e-01
fairfield .
bridgeport .
ivan .
fsu .
rod .
michigan .
tango .
fbs .
syracus .
pruitt .
downtrodden .
conflat .
shark .
hoard .
adequ .
single .
#teamspotlightsunday .
meghan .
mcdermott .
alanna .
journey .
fifti .
ist .
#thedeepst .
#jesuiten .
#cabal .
#satanist .
#nwo .
#kalergiplan .
#kalergiprei .
#whitegenocid .
#communism .
#albertpike1871 .
#guantanamo .
#expropriate .
🕳️ .
#cbs .
#nomorelevi .
#libertarian .
puleeez .
#quebec .
#elect .
#electr .
rabbit .
stray .
🙉 .
andover .
darkskin .
4c .
replaces 2.499797e-01
chickens 6.442806e-02
rotten 1.348873e+00
oneself .
lg .
discoveri 8.557171e-01
cor .
conscious .
balaam .
donkey .
fastest .
jerusalem .
sweepstak .
samaritan .
bwahahaha-work .
chubbi .
underdog .
devout .
thot 4.309490e-01
abysm .
withheld .
awewww .
secreci .
incredible .
insincer .
callous .
maturer .
justif .
euphem .
birnbaum .
invisible .
arrogance .
complacenci .
electors .
alberta .
😣 .
🇮🇹 .
six .
#markjudg .
#foxreport .
abc—let .
pro-trump 1.114323e+00
superhero .
shutdown .
engineer .
thrive .
#murderr .
fack .
khant .
duet .
cutie .
#mybubblygirl .
#anupama .
#dreamgirl .
#bco .
stocks .
mmm 4.353734e-01
colleen .
louisvill .
p.o.v .
hilliari .
fighter .
theatric .
non-binari .
newfound .
treatin .
puls .
testament .
statutori .
fluf .
grumpi .
grunt .
cave .
#fordnat .
#onpc 2.530860e-01
marci .
zimmerman 1.429799e-02
lacki .
kennel .
roof .
station .
#ericholdercrimes# .
flat .
worldwid .
enact .
#1worldonlin .
#polloftheday .
quackeri .
msd .
ostrich .
___ .
▰ .
▔ .
皿 .
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capricorn .
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♏ .
scorpio .
friendship .
♊ .
👤 .
♎ .
libra .
★ .
👔 .
bal .
palat .
youll .
burner .
throughout .
bae .
foxi 4.077340e-01
terrorsit 1.398605e-01
repay .
kaduna .
phx .
oak .
wjc .
dwi .
flaunt .
self-aggrand .
fanci .
#metoowitchhunt .
ali .
statut .
jurisdict .
#pcpo .
#ondp .
#topoli .
#toronto .
#tocouncil .
chauvinist .
anti-whit .
bypass .
accurat .
entrepreneuri .
difi .
ammo 9.657068e-01
blurt .
cloth .
ulterior .
fiber .
#disarmharrisnow .
anti-kavanaugh .
mccain- 3.029675e-01
#deathpenalti 9.501929e-02
#treason .
#pedog 1.938234e-02
ld .
breast .
#stopkavanaughnow .
mango 9.658299e-02
mussolini .
vacil 1.265104e-01
amor .
endang .
speci .
grass .
johnson’ .
caricatur .
leftstream .
excori .
excellent .
cavil .
stepe .
unfuck .
one’ 4.353705e-01
#pedo .
#jesus .
wuit -5.551395e-01
banter .
🤒 .
phycho .
perjur .
newer .
kaz .
ipo .
ddd .
wylin .
tbf .
nascar .
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doabl .
bout .
diabet .
plantat .
solvent .
gunna .
💪 .
salzburg .
#salzburgsummit18 .
blight 3.413811e-01
womanhood 1.056893e-01
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ce .
raikou .
kev .
kern .
#ca23 .
#dosometh .
bts .
dog-eat .
convey .
oddest .
fillin .
nicki .
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messsssss .
priveledg .
benifit .
murdered .
sock .
mongoos .
cobra .
preller .
#australia 3.229574e-01
weez 1.027371e-01
stoopid 2.139766e-02
#celebr 3.588194e-03
goofi .
ft .
bigwig 4.047540e-01
y’all’ .
grossli .
mulroney .
implicat .
amiright .
contain .
unwelcome .
opponent .
change 8.725963e-01
prosecuter .
arresting .
tulip .
#gophypocrit .
fluctuat .
nec .
mergitur .
latin .
peterson .
lawton .
wive .
discrep .
sushi .
#everybodytalk .
spartan 2.809524e-01
proletarian .
sight .
dealer .
murders .
thiev .
siez .
sucki .
invalid .
sadam .
gass .
kurd .
potter .
pogba .
alternative .
exclusionari .
bois .
kellen .
cerebr .
cannon .
rodger .
coney .
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vonta .
nobama .
t1960 .
t1 .
t-800 .
sarah’ .
isol -3.645006e-01
arnie .
t800 .
basebal .
bravo .
geeezzz .
tosser .
ironic .
judiciari .
#cos .
2d .
el .
mierda .
wowowow .
#ticat .
cornhol .
ptotus 1.384793e-03
abusing 9.619616e-04
predatori .
evidence-bas .
#cdc .
#cdc7word .
#bannedword .
#orwell .
#doubleplusgoodspeak .
#trumphasdementia .
gooni .
gz .
vault .
mold .
grill .
austeriti .
efect .
authent .
misrepres .
supposit .
bent .
leather .
sellout .
cotton .
veget .
engage .
involving .
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5yr .
seldom .
croatia .
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loosley .
petul .
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shortlist .
shaunbaileyuk .
andrewboff .
joymorrissey .
#buildthatwal .
lowland .
👍🏻 .
#nowplay .
slider .
quell .
bohot .
badhai .
bhai .
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mileston .
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speedi .
epithat 2.804953e-01
#bigotri 7.319858e-02
#hypocrisi .
ucp .
ugliest .
trumpstard .
showman .
maricopa .
fubar’s .
encor .
necular .
goodbi .
cmon .
ballerina .
woo-hoo 3.413729e-01
brothel 1.056936e-01
nation-wide .
defund .
dubious .
mortgag .
subprim .
forced .
provide .
cmos .
deriv .
subprime .
rehman_chishti .
elmer .
elephant .
karachiit .
pkbritish .
britishcouncil .
bri .
sluch .
settlement .
#trudeau .
drill .
micheal .
#fisa .
prick 3.254990e-01
second-hand 1.031013e-01
pincushion 2.144521e-02
histrion .
heroin .
#fluffywolf1218 .
founder .
mandi .
devot .
leigh .
tn .
ack .
sloth 4.353647e-01
oc .
amai .
kira .
mum .
#mbpoli .
#winnipeg .
#canpoli .
reserv .
manitoba .
trashno .
neptun .
#leos .
skrull .
kree .
pmjt .
#hollyweird .
prodcut .
#muellersmountain .
#endthegop .
#endthenra .
album .
undoubt .
survivor .
devoid .
glare .
embarass .
traumatis .
#keepitpubl .
roommat .
restat .
campa .
cuf .
shackl .
infringed 2.661433e-01
abet .
chaulk .
scrath .
#weluvtrump .
siobhan .
clp .
atlantic .
multicultur .
editori .
x-men .
chief .
complianc .
liblabcon .
#stitchup .
bullcrap .
#naacp .
campus .
dcrat .
self-serv .
facto .
begon .
insurg .
hashtag .
touchi -6.030594e-01
75k -2.059025e-01
#hypocrisymuch 2.532973e-01
#bigstuff 6.502295e-02
arbit 4.353630e-01
bergh 2.760288e-01
#peopleoverprofit 7.444158e-02
sleev .
viagra .
taxat .
phenomenon .
shittalk .
vic .
ot .
playoff .
intial .
virtual .
jlr .
mainland .
fond .
vigil 3.926685e-01
pollut .
oink .
april .
ryan .
flatter .
#annasourpuss 5.401002e-01
#leav 2.401022e-01
#noeudeal 7.405151e-02
forg 1.866194e-02
🌍 .
#fuckeu 4.058050e-03
threatening .
citizens .
nero .
#boycottthenfl .
#justdont .
encash .
waseem .
cambridg .
analytica .
mista .
sy 4.353604e-01
dotter .
unafraid .
#nokosoko .
jong-un .
missil .
printer .
kooki 1.291413e+00
#pedovor .
#agsession .
tentacl .
#pedogatenew .
hunkered .
commitment .
stable .
tziyon .
shalom .
musica .
lucho .
jazz .
vocalist .
recycl .
stir .
guna .
frida .
#sorrynotsorri .
breastfe .
formula .
lactos .
shun .
mentalli .
impaired .
podium .
fec .
o-h .
maintain .
impus .
agit .
pg -7.150113e-02
6’6 -8.142785e-03
speedboost -6.675129e-04
half-dec -4.609619e-05
yw -2.856018e-06
uncultur 4.353591e-01
gatlin .
boxer .
perverts .
demons-period .
sacred .
mutts .
vigilant 1.035871e-02
control.swamp 2.166867e-03
midget .
gypsi .
skinsuit .
wed .
therapi .
#frack .
u6 .
peppermint .
steak .
high-school .
drunkest .
p.c .
palpit .
kabasel .
watford .
premier .
bean .
avocado .
quinoa .
fooln 1.785916e-01
spite 3.222783e-02
youngo 3.496016e-03
milquetoast .
anti-openbord .
anti-jujub .
hoods .
shouldnt .
shitshow 4.381166e-01
infer .
arsenal .
heartbeat .
dillusion 4.353571e-01
nebraska .
greeni .
newsworthi .
hazard .
shannon .
twatt .
hеi .
hеre .
👈 .
👰 .
🌷 .
🎁 .
lowki .
shithous 4.353564e-01
a.j .
default .
fm .
idealli .
dafaul .
screams .
boil .
powder .
🖤 .
#gettough .
phobic .
maxi .
a.k.a .
#hanghim .
#brettkavanuagh 4.353558e-01
ji .
aluminum .
evolv .
stalinist .
goolag .
decommiss .
filter .
semi-skim .
85p .
ltr .
retail .
tesco .
annum .
pa .
hectar .
cultiv .
poppi .
opium .
retreat .
myanmar .
port .
sha .
francoism .
spain .
separatist .
embezzl .
catalonia .
vlaam .
belang .
overheard .
that’d .
kreb .
knob .
eminem 3.413455e-01
roblox 1.057089e-01
faceti .
mazi .
patholog .
saving 3.413437e-01
shitttt 1.057099e-01
oresid .
dupe .
civic .
hetero .
courtroom .
#partybeforecountri .
#massmedia .
2sec .
mainer .
proclam .
canon .
nuetral 4.620423e-01
salut .
yawn.noth 1.721337e-01
theyll .
documentari 1.379062e-01
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beagl .
lodg .
commun .
dye .
haircolor .
jin .
til .
agreement .
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100b .
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clariti .
marin .
le .
cuccinelli .
salesman .
misspel .
scope .
upcom .
siwc .
airforc .
undo .
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shitpost .
tdp .
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hum .
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staffer .
enhanc .
interrog .
nina .
feh .
bhadbhabi .
bhadtranni .
swallwel .
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whackadoodl .
steam .
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wale .
cosi .
farther .
limelight .
❗ .
sparki .
diseas 1.741056e-01
soulless .
cutsi .
💪🏾 .
bafoonicus 4.353524e-01
inject .
#iwantthewal .
mourn .
sieg .
#cultlog .
metric .
b2b .
frigid .
cockamami .
boruto .
fallaci .
wack .
ranch .
recruit .
claus .
fenstin .
realeas .
academia .
#job .
#music .
#art .
#fashion .
#shopmycloset .
#projectmanag .
#crypto .
hub .
shedevil 4.353518e-01
ukranian .
ultimat .
manifest .
colorblind .
kwasia .
shatta .
seff .
dey .
yh .
vim .
earphon .
sewer .
unfound .
nj .
paycheck .
visitor .
sadder .
bizarro .
tourist .
nevada .
sawed-off .
311d .
cops .
dydinv .
antichrist .
huber .
scholar-lik .
x.not .
heroic .
heighten .
slimfast .
wax .
poetic .
purchased .
#liberti .
#freedom .
whopper .
tamir .
maximum .
suspicion .
backfield .
thinner .
platoon .
premedit .
rehears .
oasi .
oblig .
bushmast 2.499182e-01
xm15-e2s 6.446350e-02
ilegal .
13-year-old .
mandat .
teamwork .
nansbabh .
booo .
hooo .
snot .
18-year-old .
pedest .
spark .
pirat .
insurance .
temporarili .
kate .
nash .
soundbit .
propoganda .
felicia .
fiscal .
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shazam .
how .
alternat 3.111221e-01
freakin .
hurricane 9.294602e-02
afe 9.306013e-02
ol'bob .
alrighti .
destin .
titan .
#scienc .
#growup .
thirty-five .
longt .
clash .
shastrartha .
guenther .
caller .
improv .
rbg .
intoler .
scrafic .
gun-rel .
ala .
crapper 4.233020e-01
#loui .
judgment .
#russia .
#saudiarabia .
#thecathol .
vib .
nova .
scotia .
🌎 .
🌏 .
🚶♀️ .
🚶♂️ .
worldwide .
shortcum .
abc .
tinctur .
tong 9.963479e-02
disinfect 1.787040e-02
reckon .
wacki 4.233010e-01
againstbth .
🤷🏽♀️ .
dpd .
chic .
democrap .
levin .
unbeat .
frenzi .
alyssa .
milano .
nearly-zero .
astronom .
scheming .
incite .
froth .
goodest .
🎵 .
#texan .
cooktrag .
palestin .
lnp .
18n18 .
nuts.mak .
flannel .
brittani .
vision .
batt 1.630185e+00
#talklikeapirateday .
scurvi .
pirate .
plundered .
#1950swomen .
parlai .
marooned .
doubloons .
wormi .
sail .
alongsid .
broadsid .
⚖️ .
#backto60 .
lockdown .
gun-control .
pro-gun .
ahol .
fabul .
💝 .
xenoblad .
chronicl .
worried .
bold .
losss .
waiver .
10x .
kuniva .
do—y .
blessings .
uppiti .
boycotting .
verdict .
anti-ameican .
azz .
unprotect .
stds .
#warrior .
holland 2.593125e-01
tunnel 7.098540e-02
household .
mariota .
anons .
beech .
mi .
rosoft .
aishwarya .
bcos .
inclin .
hindus .
krishna 3.176784e-02
vogu .
prior .
raison .
d'etr .
zeckenbiss .
#hetzjagd .
#scottish .
#mondaythought .
#women .
#leftwingliberaldiseas .
unprompt .
unwarr .
undeserv .
commenc .
eager .
ell .
ace .
wifi .
underr .
#british .
gigant .
benni .
#borisjohnson .
#chequer .
smelli .
cat-siz .
almighti .
emmanuel .
📖 .
👐 .
👼 .
shute 2.498072e-01
yumi 6.706710e-02
yuzuki 1.206019e-02
kraze .
greatful .
thor .
reminding .
administration .
septemb .
shi .
sandyhook .
repug .
graduat .
boltey .
jo .
kaat .
uski .
akal .
gutno .
reti .
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osama .
laden .
janaza .
probabli .
taxes .
he’ll .
#monstermay 3.270510e-01
#dwpcrime 9.376958e-02
#dwp 1.768019e-02
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conservatives_ .
flakey .
infertil .
germ .
upsideup .
yayay .
aboard .
nsl .
mccarthyism .
paratroop .
quash .
candlelight .
aboilish .
martial .
rachel .
madcow .
sanghi 4.353463e-01
bye-by .
swalwel .
pencil .
busted .
🤟 .
follower’ .
qfd .
disappear .
#redoctob .
emplyer .
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loath .
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scriptur .
theonomist .
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💨 .
radicalis .
1-0 .
40k .
bitchc 3.413202e-01
uwuing 1.057239e-01
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island.latest .
parallel .
world.what .
#blackmail .
marco .
oliver .
pivot .
xi 5.378683e-03
demolish 2.250178e-03
buckwheat .
supremeist .
wonna .
campign .
policallli .
amatur .
tge .
loophol .
onion .
barzal .
holt .
renfrew’ .
shopper .
horwath .
foundat .
#divers .
#tribal .
#culturalappropri .
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specul .
trademark .
life-and-death .
personal .
feelings .
syrian .
dd .
rossit .
arsehol .
mcraven .
#commanderinchief .
retire .
hollow .
woker .
idl .
juggernaut .
alcatraz .
here—don’t .
drone .
💦 .
moment—protest .
recollect .
preced .
practis .
fortitud .
taurus .
semiautomat .
cricket .
#clintoncrimefamili .
#sarcasm .
unintellig .
inexperienc .
unwari .
#funni .
#hilari .
#hardbrexit .
insert .
cheney .
marcus .
beawar .
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dispens .
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pristin .
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villag .
asu .
ill-equip .
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#ncpol .
yeap 2.697871e-02
disgrace-without 4.353448e-01
hooray .
#lyingnew .
optim .
mlb .
arenado .
chapman .
ccp .
rump .
targets .
🐖 .
fcb .
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hopeless .
naïv .
#trumpli .
aweeee .
e-panda .
drummer .
4-get .
#muellertim .
reppowervot .
strengthen .
powerpray .
tsunami .
bliar .
hnh .
rendel .
greenvill .
upppp .
kliff .
gayer .
prasid .
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#sonnykiriaki .
#willhorton .
#freddiesmith .
#chandlermassey .
#day .
#ownthelib .
reactionari .
aurora .
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newslett .
ross .
arrang .
a3 .
#currentaffair .
biogen .
brainchild .
mailer .
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chin .
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combat .
frere .
ismael .
yfc .
#vaxx .
#readthebook .
#cdcwhistleblow .
#vaccineholocaust .
shree .
krishnaji .
ligic .
secular .
migrain .
buffoon .
buller .
#wiunion .
#wipolit .
#wiright .
#demonicrat .
#pervertsinc .
bey .
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vacay .
zeland .
exert .
coerciv .
quad .
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molli .
tibet’ .
reward .
issss .
inculc .
epiphani .
#confirmbrettkavanaughnow .
woulda .
beam .
tbey 4.246069e-01
asinin .
firm .
muppet .
6’2 .
lbs .
ffl .
osuna .
gile .
burnt .
out .
mondi .
chico .
chihuahua .
obummer .
ward .
it'll .
oliv .
puhleas 2.530117e-01
kiki 6.838397e-02
nobody’ 1.221300e-02
applebee’ .
#former .
tanner .
sleepwalk .
sallbuzz .
convent .
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youf .
arguement .
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#transpar .
#releasethedocu .
wanka .
soweto .
eighjt 1.158582e-01
wassamatta .
holli .
wheb .
sportscast .
throgh .
exclude 2.662582e-02
soon-yi 4.384185e-03
flavor .
villian .
plagiar .
montel .
feebl 2.798294e-01
describes—to 3.049397e-01
👏🏼 .
reman .
sidenot .
condon .
benidorm .
creamfield .
travon .
martin .
gooooooooooood .
needa .
1000x .
funnier .
waltz 3.058160e-01
acedemia .
downfall .
hedi .
lamarr .
fascin .
#kamalaharri .
emperor .
effortless .
glide .
#beaboutit .
calib .
cocki 3.519494e-01
cuckoo .
dominiqu .
matthew .
fuckkk .
slapper .
buh .
#givekapach .
#imwithkap .
#justiceclarencethoma .
blocked .
68yr .
gmother .
injustic 3.716247e-01
huckster .
imbibe .
f75 .
cocktail .
disarmthem .
retent .
#putuporshutup .
#callthevotealreadi .
columbia .
bugl .
babygirl .
dez .
cowboy .
clemson .
aggie .
varsiti .
affluent .
carson 1.984021e-02
promin .
slipperi .
sloop .
dimm .
prz .
amnesti .
immagr .
idealist .
#bestpres45 .
thuggish .
reading .
outburst .
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xenophob .
fieri .
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globe .
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boggl .
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uncontroversi .
7-2 .
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lavish .
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zim .
peyton .
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indefens .
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lindsay .
dyess .
calling .
crowther .
nezha .
nidus .
caribbro .
oroshimaru .
teleport .
onna .
glitchi .
#supplymanag .
stubborn .
cling .
rudeand .
asshat 3.112040e-01
#socialistdemocrat .
gospel .
digger .
philosoph .
hippi .
scholar .
grandstand .
facial 2.978877e-01
hyg .
#notbakingyourcak .
#proudtolovejesus .
sewag .
accusers .
#equaljustic .
broward .
euthanasia .
#hollywoodisscum .
howi .
scrawni .
#agtresult .
#agt .
gunbrok .
coop .
jare .
fiasco .
months-accord .
atlanta .
pyro .
tf2 .
0c .
sarcast .
gunright .
demonut .
patrol .
eli .
plummet .
post-brexit .
backpack .
jurki .
leave-just .
rancho .
mirag .
merg .
bush-cheney .
#shadowban .
dry-hump .
blumenth .
leaf .
adrift .
off-track .
happyhappi .
missi .
anywai .
november .
discours .
funded 2.832663e-01
groups 7.758021e-02
terp .
stephen .
energ .
surfac -4.285867e-01
unsanitari .
gett .
cu .
enugu .
cerberus .
dant .
orchestr .
provok .
niec .
unplan .
14th .
miriam 4.353383e-01
god-fear 2.169480e-01
anti-america 4.806778e-02
blossom 6.972599e-03
innov .
#publicsector .
21st .
#digit .
#disarmh .
utah .
#maunaloa .
#crunchtoadifferentbeat .
#ncaa .
deterior 7.901852e-02
housewif .
shirley .
misanthropi .
alloc .
toughen .
laid .
thay .
canola .
o'lake .
knowmandni .
satochi .
tingl .
unknown .
revenu .
dev .
gorl .
jericho .
zodiac .
sagittarius .
wolverin .
hshshahhsjjjsjsj .
praying .
pervers 4.353368e-01
possiv -1.043147e+00
detract .
personifi .
infuri .
ode .
jah 2.186638e-01
hussl 5.888845e-02
annett .
mediterranean .
sod .
phooei .
wield .
crude .
hotdog .
crust .
nica .
other’ .
glimps .
thirium .
gunshot .
wound .
jordan .
vanish .
nowheresland .
follower-count .
anne .
abramoff .
#nickferrari 1.070837e-01
paedophil 1.924857e-02
ferrari 2.045444e-03
#lbcradio 1.688306e-04
pappi .
soapbox .
sire .
knowor .
escapad .
buncha .
braindead .
en .
groggi 4.353357e-01
mutat .
degener .
deviant .
#theferalleft .
#infiltrat .
#indoctrin .
#hemorrhoid .
#takeastand .
antinationalist .
antinatalist .
counteract .
prolib .
affection .
purr .
non-stop .
#nazisarebad .
regimen .
pornographi .
illegitimaci .
veil .
paddl .
legion 2.000922e-01
gadaren 4.615101e-02
#ergnew 6.997861e-03
#antinazigr 8.942282e-04
#antifagr 1.023013e-04
#stoptheh 1.067255e-05
#goldendawn 1.025575e-06
#gdtrial 9.159540e-08
#jesuschrist 7.668745e-09
#jesusislord 6.066614e-10
#jesusisgod 4.566456e-11
#prayer 3.634013e-05
#hope 4.991490e-06
boner .
constitution .
#dosomth .
#votethegopout .
neo-nazi .
bitten 4.353343e-01
pigs 3.024285e-01
slobs 9.432029e-02
protesters 1.911001e-02
hypocrites 3.098832e-03
pall .
hahahahahha .
malarkey .
#usaafr18 .
deirdr .
bondag .
gynecolog .
bretheren .
decide .
#repunklican .
#ronaldgrump .
#naziusa .
imho .
⁉️ 2.224609e-01
#loveourpotus .
#bluewaveofviol .
jimin-ssi .
funer .
anit-semet .
reviv .
catcher .
mustach .
uproar .
until .
6million .
inc .
hb .
owellian .
portrait .
wese .
bahut .
krti .
hn .
ppp .
pe .
aa .
sari .
demi’ .
od .
arianna .
storag .
ceil .
🚫 7.894869e-01
primadonna .
karl .
popper .
anti-bord .
anti-n .
censoring .
#writerwednesday .
businessmen .
perplex .
#trumptariff .
schmuck .
ovomit .
alt-left .
#ganikalinaaisha .
sell-bi .
short-term 5.294919e-01
extraordinair .
jan .
illustr .
#letsgoshoot .
ohhhh .
high-jack .
os .
shot—3 .
killed—friday .
u15 .
hasti .
tinubu .
yoruba .
yayyyyi .
peoplekind .
#nodealbrexit .
#chequersplan .
#downfal .
brightsid .
creationist .
scientif .
breastfeed .
cruelti .
whoop .
unfollow .
xhe -2.254189e-01
zhe -5.386672e-02
condom .
encount .
pedofil .
epidem .
jose 2.992670e-01
carolina .
bitxh .
eveb .
runs .
usain .
bolt .
🤙🏻 .
#darkseid .
perenni .
daxamit .
menac .
coincid .
leo .
zagami .
government-sanct .
supersoldi .
abund .
descend .
bilion .
pulp .
rao .
isaac .
gggrrr .
on-it .
cordial .
#roeselar .
mooslim .
groomng .
succe .
#3 .
u.s.a .
horni .
hazi .
avg .
dnt .
legatron .
bowel .
apt .
gi .
oncologist .
hare .
splc .
#englishconservat .
catchi -3.698102e-01
tana .
urself .
disgusting .
fuckoff 3.254027e-01
scared 1.031464e-01
him@ 2.146146e-02
accompani .
ie .
geoff .
loafer .
#molonlab .
#momsdemand .
intruder .
4chan .
displac .
duncan .
mei .
enmesh .
anal .
caviti .
grandfath .
1942-1945 .
#fanat .
#sycoph .
#religi .
#extremist .
#fuck .
#whitesupremacist .
#evangel .
#supremecourt .
#fuckoff .
#gilead .
#tastethebarbierainbow .
#roman .
#legendari .
#icon .
semant .
riker .
iggi .
tenac .
slag .
undemocrat .
unon .
purpleumpkin .
murpl .
supergirl .
noticed .
kneeling .
complains .
versus .
✌🏼 .
👮🏻 .
👩🏻✈️ .
daca .
activists-antifa-ofa .
incompatibles .
uscultur .
2felon .
potus45 .
destroysovereignusa-usconstndem'i .
4threichnwo .
checker .
peter 2.618758e-02
#antifaareterrorist .
#rape .
cks .
ca-district .
moneybag .
mccarthi .
#matta4congress .
#sendmccarthypack .
#cadeservesbett .
kirinoder .
antagonist .
arguabl .
#reunit .
#immigr .
#children .
#repeal .
#ban .
#familiesbelongtogeth .
#noban .
kucinich .
islamic .
overlord .
ww2 .
entranc .
avram .
idioci .
ar .
🌺 .
graf’ .
polititian .
breed .
paedophilia .
#nottowatch .
hillbilli .
#deplorabledreg .
#liberal .
#democraticparti .
#midterms2018 .
#1ab .
#confirmjudgekavanaugh .
#usmc .
#navi .
#armi .
#airforc .
7k .
abbott .
buttercup .
🤭 .
scorn .
mmmmmm .
edibl .
#theswamp .
#colinjost .
☺️ .
jr.she 3.420487e-01
nothing.don 1.050073e-01
authorit .
wwe .
glove .
win.h .
poker .
bluff .
c_i .
omygod .
crate .
decisi .
staunch .
barret .
looks .
wholeheart .
travesti 3.156257e-02
rham .
jake .
analyz .
elison .
pulpit .
cheeri .
80s 5.089013e-01
charad .
facelift .
#maymustgo .
bakkt 3.228441e-01
etf 5.139465e-02
fuken 2.141638e-02
cuuuuuks 3.592316e-03
merck 3.254857e-01
abysmal 9.664180e-02
cont .
wrds .
voc .
comp .
pssst .
#18n18 .
ex-attorney .
yasir .
pyjama .
wallow .
dint 3.213635e-01
kadi .
tempera .
brillianc .
nutbag .
vcr .
curb .
concess .
darell.maddox .
rightist .
#bashthefash .
#smashfasc .
oyela .
st .
atmos .
gloom .
salesmen .
twitter’ .
#twitterleftbia .
hull .
lesser .
rossendal .
darwen .
arguabli .
#novoterfraud .
#nocaliforniademocrat .
#nosanctuaryc .
#nosafespac .
#nohomelesscitizen .
#nopelosi .
#nowat .
#noharri .
#nonewsom .
#noschiff .
#nolieu .
#nofeinstien .
#pardonmyfrench .
veteren 1.602747e-01
sulli 2.792339e-02
reluct .
aback .
orbis .
brag .
romanian 1.241541e-01
sr .
adminstr .
cud .
edd 5.254420e-02
#clinton .
#unmask .
#releasethememo .
#susanric .
🔍 .
🔎 .
atleast .
libnut .
dishwash .
commemor .
#sedit .
mediocr 4.353295e-01
senseless .
#mru .
running .
obamas .
skank .
maria .
harf .
#dncwbore .
#lyingskank .
#kennedi .
#magic .
baer .
sniper .
d.c .
soda .
kajillion .
zombifi .
orourk .
tiffani .
mof -3.818609e-01
six-and-a-half 8.853087e-02
one-half-years 1.552093e-02
#winning 1.626331e-03
devote .
curri .
idiotic .
immoral .
#demsaredanger .
10kid .
nigerian .
donot .
sidhuji .
classless .
evolutionari .
biologist .
gf .
ein .
pahh .
#exposethetruth .
quantifiabli .
improved .
neg .
alleslev’ .
xing .
#standup4brexit .
fraudulent .
papercup .
🎂 .
overr .
han 3.991073e-01
hermann 1.042121e-03
hopp 9.554474e-05
klansmen .
traitor-p .
fck .
operat .
shurmer .
synch .
commut .
youngster 1.681422e-01
robber 3.058033e-01
dull .
illus .
#repres .
await .
clincher .
happpen .
dimens .
audibl .
#malcolmx .
giy .
falwel .
1970s .
ulster .
unionist .
charlott .
#greatestthingsaboutthe90 .
treacher .
maggi .
hostil .
stripper .
autocrat .
exceed .
interrupting 3.224727e-01
hearing 1.027504e-01
definiteli 2.141309e-02
earned 3.592144e-03
stripes 5.176990e-04
cruis .
wyatt .
🇨🇺 9.279724e-02
armrest .
forgiven .
wrist .
vei'aran .
xilhatarra .
argentborn .
#obamasucks .
ending .
imbal .
bushii .
800b .
boon .
trump-o-nom .
🇳🇬 3.409819e-01
malam .
catalog .
bolaji .
plead .
⛏️ .
closest .
emoji .
birch .
carb .
muffin .
backon .
ypu .
#global 3.224173e-01
#ppp 1.027471e-01
#corporatewelfar 2.141326e-02
#constitut 3.592238e-03
#sociopolieconfinanci 5.177179e-04
particratic 6.650238e-05
#collus .
tician 7.810137e-06
sequel .
dceu .
irrevers .
#propaganda .
kavanauh .
nazism .
#bcpoli .
#ontpoli .
#alpoli .
havevut .
everytim .
ivana .
appreciat .
spree .
jihoon .
correction .
false-major .
#electoralreform .
ads .
defended .
baff .
dun .
breez .
nip .
ehen .
nao .
glori .
midrand .
sip .
unusu .
emili .
disown .
motherfuck .
twain .
vinnie’ .
recognis .
entri .
taxi .
cab .
#roxhamroad .
paperwork .
50k .
syria .
assad .
nicer .
orcastr .
psi .
ops .
🔫 .
bud .
handicap .
non-issu .
sjsnsn -2.939235e-01
hobag 2.528880e-01
#himtoo .
#vasen .
#violentleft .
#virginia .
jdkdkdd .
fav .
homies .
cocks .
athens .
fjshdhjs .
illio .
insta .
torb .
moira .
doomfist .
comi .
pun .
#anonym .
midnight 4.353249e-01
#successconnect .
#presidentmaduro .
feast .
#saltba .
#venezuelan .
#starvat .
#jeremycorbyn .
#venezuela .
un-rememb .
dcl .
explor .
airport .
down .
windrush .
briton .
#institutionalrac .
defo 4.353242e-01
#morealligatorgreedannul .
dismantl .
for-profit .
turnoff .
#bullshit 4.459709e-01
courthous .
posted .
kdksksks .
pro-choic .
#5 .
whiners .
mmmhm .
clegg .
bedfellow .
akb48 .
akimoto .
robe .
conduit .
lefist 3.430938e-01
who’ll 2.809068e-01
milf .
hotb .
dennehi .
rope .
#walkedaway .
entire .
law.obvious .
supposed .
merri .
antic .
creek .
apologet .
juxtaposit .
slant .
kool-aid 1.624924e-01
clownish 2.961861e-02
stitch -2.121462e-01
ow .
peach .
toadett .
playabl .
nsmbu .
inth .
margin .
conei .
#psychopath 3.224045e-01
#invis 1.027525e-01
#press 2.141510e-02
#creat 3.592620e-03
#catkil 5.177817e-04
#excus 6.651154e-05
#foxhunt 7.811309e-06
#christma 8.541561e-07
#animalcruelti 8.809617e-08
bagel .
truest .
eggman .
freez .
antiqu .
non-exist .
mic .
prescott .
maaaad 4.353206e-01
cpp-npa .
enioy .
jacki .
stickerwoman .
bunk 4.353199e-01
pseudo .
pastim .
our .
expirr .
🎱 .
daniell .
raini .
❣️ .
attir .
#enebot .
rubin .
sanchez .
boat .
17th .
#clintonfound .
#clintoncrim .
ancestor 2.789808e-01
reliev .
mcbucket .
westbrook .
someway .
clarkson .
#sickkidsinlov .
inspo .
unseri .
#iphon .
#taketworeferenceswithmoniqueandchlo .
protectionist .
attach .
malloy .
#voterednovember2018 .
antifascist .
sonic 3.961371e-01
aasert .
inan .
attende .
ak .
yan .
grandmom .
alec .
railroad .
murda .
joe’ .
cub .
dallas .
noble .
respectable .
department .
handling .
situation .
aiding .
criminal .
showing .
naxin .
watter .
#prouduncl .
amo .
stinki .
denuk .
pyongyang .
daisho .
pub .
inquirer .
uber .
#diannefeinstein .
aspers .
colorado .
sencollin .
9️⃣yr .
letgod .
#powertothepeopl .
sinnfeinn .
ids .
1s .
savior .
vanguard .
fraudul .
strongest .
persist .
okai .
unfilter .
bitc .
#teamtani .
endanger .
alll .
goth .
steamrol .
hell-bent .
bloodsh .
butthurt .
reprob .
pfffft .
misunderstood .
uterus .
reproduct .
arrested .
constitutionalist .
teaser .
privi .
#stopkavanagh .
repeatedli .
undocu .
cherrypick .
#votered .
#justintrudeau .
inaugur .
sinner .
unveil .
shiit .
atp 3.380547e-01
nye .
mechan .
cornel .
boe .
duke .
overview .
kinscem .
#sad .
maroon .
ergo .
propter .
steadili .
reid .
filibust .
bentley .
townhal 5.179214e-01
god's .
anywhere .
courage .
darkness .
ways .
shines .
😨 .
supervis .
gag-induc .
someone’ .
homi .
50n .
#walkawai 2.230565e-01
#1a 5.301874e-02
#sundaythought 8.306335e-03
#hurricaneflor 1.090572e-03
#hurricaneflorence2018 1.272032e-04
#bolsonaroeleito1ºlugar 1.344307e-05
#bolsonaropresident 1.302838e-06
#blackout 1.170216e-07
#blackexcel 9.836030e-09
#tennesse .
#rnrtn .
#prolifegen .
#tngop .
#gaytriot .
#rnr .
paus .
ma’am .
luxuri .
oppressor .
kappa 6.791493e-02
i'ma .
tribut .
hart .
lambda .
pov .
coont .
spoiler 3.057917e-01
meme- .
bravest .
#arrestclintoncrimegangalreadi .
#nochainmigr .
proves .
sediti .
uscode18ch115sec2384 .
#tedcruz .
btwn .
#codywilson .
typical .
tmi .
subt .
heartbroken .
yal .
vehicular .
bizpac .
maddow .
rockstar .
evident 1.154393e+00
#2020 .
markey .
person’ .
carey .
zoomed .
everyone’ .
invite .
omar .
cameto 3.926542e-01
stretcher .
bariatr .
ncaa .
#identitypolt .
monolith .
#kaepernick .
meanwhile .
401k .
ms13 .
illegals .
deported .
nk .
#outfrickingstanding .
frm .
#tree .
#greet .
#blue .
thereupon .
#up .
#bardbit .
#workjam .
#everyth .
#buyit .
erg .
bonker .
nominatin .
violation.u .
viacom .
pioneer .
#workout .
belli .
insulin .
dickmat 4.353158e-01
aloud .
measures .
rake .
20th .
sleezi .
oct .
15th .
bandit .
states .
guaranti .
invasion .
domestic .
semper .
fi .
rama .
lama .
ding-dong .
downhil .
med .
#ldconfbrexit .
blk .
thomas’ .
#hightechlynch .
#djt .
ingraham .
russian-infiltr .
vocifer .
vy .
kellyann .
🥀 .
yeaaaahh .
suitabl .
phinnali .
sued .
russa .
#gapbelik .
lmfaooo -2.267698e-01
imagineee -5.892663e-02
fandom -1.012941e-02
intrus .
law-abid .
#spanishreveng .
#wakeupeurop .
hotel’ .
revok .
squabbl .
#ww .
decor .
lmbo 2.922408e-01
destriment 7.768083e-02
rotari .
flare .
launcher .
rga-86 .
#firearm .
wallet .
6ix9in .
soap .
countless .
shitter .
died .
#firemorningjo 4.245779e-01
pacif .
disclos .
#wemarchforourl .
control-dump .
#empower .
4action .
coochi 1.699847e-01
ira .
s.o .
cdns .
#devilyouloseagain .
#letthetribunalsbegin .
#trumpworld .
#rainmakersunit .
#q828 .
#thepersist .
resound 4.353139e-01
#kufball .
miscast .
#magadingdong .
sofa .
samrat .
teju .
geetha .
#kaushalarmi .
#biggbosstelugu2 .
apiec .
wart 4.353132e-01
hve .
drank .
hungerless .
hunger .
refused .
forsaken 7.156687e-01
looong 3.560195e-01
apparant .
cane .
#ironicnew .
#pantsonfir .
#trumppocalyps .
#mad .
illllegal .
#msaga .
makesouthafricagreatagain .
pearl .
clutch .
#sadnew .
#toler .
#americanpeopl .
theif .
😕 .
mouthpiec .
nask .
carru .
overhyp 4.812450e-02
imbecild 7.927777e-03
anti-2a 3.057868e-01
flaki .
medium .
hasenpfeff .
strzok .
two-tier .
lawbreak .
#impeachjeffsess .
tab .
argento .
havin .
grim .
adventur .
wheeew .
wider .
phenominon .
documentarian .
constip 3.412274e-01
diarrhea 1.057791e-01
scjous .
fvkk 2.649017e-01
muttafuttah 7.299478e-02
gd 1.315845e-02
millenium 1.925526e-03
albert .
nat .
strasburgh .
high-valu .
made-up .
microscop .
scenario .
dyke .
lou .
god’s .
#redtsunami2018 .
esa .
elig .
justice .
2-hour .
bonus 4.027453e-01
wew 1.393030e-01
allison .
incompar .
mazzi .
radianc .
🌻 .
gawdfath .
#fuxnew .
#libfail .
displeas .
immun .
10yr .
#firemalyoung .
friggen 2.356866e-01
blackout 5.382673e-02
black-japanes .
estoy .
alterando .
unseem 2.937348e-01
k.i.d.s .
whatabout .
reconnect .
gril .
#omg .
#bobbybrown .
#leolahbrown .
#bet .
#bobbi .
ex-wif .
#celebnmusic247 .
#celebritynew .
#thebobbybrownstori .
someday .
tht .
hiya 3.412194e-01
bolna 1.057833e-01
helen .
foremost .
kemi .
politico .
65-63 .
cannib .
nazi's 2.067532e-01
croatian 3.253208e-01
bikini 1.031866e-01
hottest 2.147573e-02
era 5.841889e-03
rome 3.775425e-04
vilifi 1.905727e-05
loool .
waaaay .
pretenti 3.078098e-01
try-hard 9.524850e-02
housem 1.923910e-02
#bbuk 3.110599e-03
apon .
obfusc .
illustrat .
oif .
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cy .
islamist .
foe .
#cincinatti .
provinc .
scheer .
sharyl .
attkisson .
truth-tel .
double-standard .
rapid 4.353048e-01
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disavow .
ws .
🍆 .
#hanoijan 1.984092e-01
mlm .
graffiti .
marxist-leninist-maoist .
mao .
venetian .
ballroom .
folli .
fire-up .
#jiyoonfact .
payer .
course-th .
chauffeur .
assualt .
garrett .
concoct .
therebi .
prolong .
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assumpt .
empir .
sovereign .
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renam .
#dregsofsocieti .
set-up .
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touchdown .
stire .
starlight .
lumin .
sustain .
heartach .
#rememberingedward .
konjam .
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tweeeeeetrrrr .
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trusti .
canteen .
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deadass .
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razor .
#qanuck .
#asktheq .
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week.senior .
small.but .
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signif .
mr.rapist .
55yr .
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#godsarmi .
#jesuslives .
#catchtheredwav .
aguearo .
slight .
het .
lookin .
belichick .
crafti .
#leonaalleslev .
flynn’ 3.412100e-01
reschedul 1.057884e-01
slimebal .
watcher .
#unsealthed .
#slushfund .
#doublestandarddem .
sickening .
#declassifyrelease302sunredact .
#declassifypowsdocu .
npr .
halper .
spectacl .
dwarfism .
dwarf .
disgruntl .
interior .
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geez .
runn .
stigma .
affordable .
income .
combust .
nightmare 3.178747e-02
anti-suicide 4.516201e-03
license 4.117088e-04
menapaus .
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femanazi .
romi .
omfg .
bff .
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fittest .
epa .
glbl .
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interraci .
mal .
terrorists.but 4.035321e-01
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undeni .
simon .
garth .
ketter .
kettter .
sceptic .
#dougford .
presidrnt .
uncl .
washed-out .
intens .
cyber .
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#islamophob .
#islamophobia .
perfectionist .
actulli .
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parrish .
bhaiya .
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latex .
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polyest .
pens .
#votethemout2018 .
intitled .
racists .
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#savescotus .
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#nomanisabovethelaw .
#trumpisguilti .
leos .
#nowwatch .
stealth .
aspir .
superpow .
cmp .
banner .
ima .
hama -9.857827e-01
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bites .
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guttenburg .
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pong .
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starved .
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sturmabteilung .
congratulation .
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self-devalu .
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historian .
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highschool .
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#pathet .
#nomoreprogressiveliber .
1-3rd .
director .
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idaho 2.054338e-01
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unimpeach .
snope .
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expo .
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#dems .
uppercut .
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televis .
brunswick .
nullifi .
availabl .
incl 2.195740e-01
curriculum 5.781998e-02
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larri .
shipper .
#antifaschismuswirkt .
corbin 5.188055e-02
poppin .
bamn .
i’v .
#elizabethholm .
#therano .
#60minut .
#cms .
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restitch .
fray .
rekindl .
deception .
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#partisanship .
#think .
#reason .
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rollin .
decrimin .
e.g .
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credible-keith .
stirrer .
career-embarrass .
daughters-al .
swedish-styl .
swede .
berniecrat .
was't .
lolol 4.353014e-01
unfunni .
#flotusrock .
🙌🏾 .
domino .
antifa-bulli .
haters-bulli .
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fabulous .
spokesman .
unanim .
a-hole .
👌🏾 .
aftermath 3.057757e-01
aikido 3.253052e-01
#aikido 1.031936e-01
#kravmaga 2.147793e-02
g-d .
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titus .
welliv .
#maryland .
#rednovemb .
fascists-in-train .
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landscap .
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understat .
imprison .
harshest .
anti-sjw .
#osho .
#quot .
cigarett .
👆🏼 .
#bebest .
#chooseright .
braun .
heel .
manger .
ziggler .
fornic 5.871223e-02
myrtl .
hahahahahaha .
cracked .
#lotwvideo .
grid .
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35-year-old .
self-character .
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#dope .
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120k .
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infrastructur .
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earner .
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🌪️ .
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pirates .
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left-w .
economist .
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dweller .
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despacito .
feckless .
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villifi .
demon-crap .
#voteblueandbringafriend .
#dummi .
#islamism .
#marxist .
#brownshirt .
#usarepubl .
goalpost .
#cleaningcanada .
#canadaelection2019 .
dishonor .
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whiney .
#whyrwpreachesrac .
#rwluciferiancult .
restraint .
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fakenew .
beto-i’m100 .
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lib’ .
howitz .
missl .
stupidest .
#cin .
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samsung .
horibble .
homer .
yawn .
dust .
apprais .
inspect .
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#armed .
#crookedmedia .
imposter .
emotion .
purg .
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putrid .
paladino .
#a8 .
bipartisan .
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oboma .
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#cnconellen .
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#pcas .
#followerickonig .
#trumpstrong .
💁🏽 .
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#election2018 .
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apist .
s.a .
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criticism-lit .
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boundari .
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#thebrooksbrown .
✔️ .
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today.few .
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palpabl .
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#msmediali .
#republicans2018 .
#bigredwav .
#bluepuddl .
#usaguard .
parri .
academi .
municip .
ac360 .
commentari .
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torch .
sensible .
enforcing .
#firstrespond .
tiresom .
kemp .
gloss .
spd .
clinician .
#fakepsychologist .
#build .
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#the_boyz .
#hyunjae .
#더보이즈 .
#현재 .
disobedi .
paramount .
#dumpford .
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ontario’ .
turncoat .
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rauner .
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moreso .
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anymore.just .
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🙊 .
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lunch .
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#peterstrzok .
#qclearancepatriot .
#qclearanc .
#u1 .
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#lockherupalreadi .
#uraniumoned .
#amazonpet .
re’evalu .
vendetta .
abolit .
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bsc .
bcs .
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backstabb .
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tryout .
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despond .
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offr .
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hound .
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swansea .
non-committ .
bergeron .
brooke .
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cleavag .
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manifort .
kushner .
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lookout .
randolph .
resurrect .
#pugchat .
pugchat .
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albeit .
subtitl .
old-fashion .
800thewhitehouse .
backstab .
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cent .
schiff .
prospect .
#fatbastard .
21k .
trippin .
pillar .
#chuckmay .
#bojo4pm .
gaug .
quantum .
geometri .
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curvatur .
aesir .
vanir .
pronoun .
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pusher .
gloat .
shambl .
doldrum .
#brexitbritain .
dumba .
yoo .
apartheid .
corcoran .
keepinghi .
allsup .
dickwe .
#trumptim .
constanza .
lem .
beto’ .
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opioid .
fuckass .
whistleblow .
toucher .
galpal .
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heartwarm .
keaton .
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steamburgen .
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re-read .
cockwaffl .
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downplay .
induct .
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slay .
flawless .
ignit .
theories.most .
ect .
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anything.enjoy .
show.our .
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hurray .
lmfaooooo .
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fragil .
bummer .
hypnot .
miracul .
#freakingliar .
#stratadata .
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#data .
#hairbal .
tdavi .
#cognit .
#machinelearn .
yarn .
spinner .
poontang .
clan .
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entropi .
with .
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opened .
sig .
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pto .
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selena .
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#technolog .
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shelby’ .
#onetroi .
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ain .
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kkkkk .
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wen .
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roast .
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#crazyunclejo .
#sexualmisconduct .
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indescret .
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squar .
sanctiti .
subjug .
paradox .
memor .
axi .
deceit .
cosnstitut .
farwel .
totalitarain .
coal .
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it-sh .
livelihood .
serve .
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lose-los .
proposit .
slent .
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outcri .
acquir .
skewer .
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swaraj .
mulford .
fallon .
woosi .
scientologist .
#trumpwash .
piggi .
captain .
scatter .
libertenni .
psuedo .
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speakin .
troof .
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#thelead .
#outfront .
#ac360 .
#npr .
#pbsnew .
#pbsnewshour .
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#boston .
#cleveland .
#milwauke .
#denver .
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#houston .
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#atlanta .
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unkind .
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#breaking .
#fortniteandroid .
#kungfu .
#fantasi .
#movi .
#tech .
#trend .
#sundaymotiv .
#gameofthron .
#beard .
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wisdom .
dodgi .
contracept .
thanksgiv .
farrakahn .
pucker .
cleaned .
streets .
1pm .
mccaskil .
windfal .
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g’vill .
#dirtypolit .
bipolar .
lahor .
#long .
#cox .
big-tech .
uncontrol .
#nyfw .
#pathetic .
#loser .
slc .
#elizabethsmart .
jackass .
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downsid .
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mann .
smoov .
lynn .
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templ .
elicit .
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runway .
anyways .
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definet .
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invol .
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tarnish .
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me-too .
peaceful .
unwant .
#dontmessaroundwith .
illinois .
venus .
#beauti .
massachussett .
flop .
commite .
deadlin .
morneau .
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tsx .
crippl .
showalt .
compil .
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bader .
abraham .
benfica .
phoenix .
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kraber .
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#terrorist .
#choudari .
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gillum .
#voterondesantis2018 .
eth .
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claustrophob .
weirdest .
valanc .
stoppag .
bo2 .
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#iatrogenesi .
demo .
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💋 .
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banger .
dreamt .
gunplay .
themself .
nauseous .
springer .
lad .
cess .
starfleet .
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#too .
slope .
narat .
cleveland .
cavali .
2-3 .
slightest .
ajsvsnsksjsj .
brazilian .
jamaican .
reson .
caribbean .
carniv .
untal .
catti .
#montel .
everyrh .
nipigon .
agger .
#goat .
full-on .
elabor .
carefulli .
#leftists .
trusted .
haitian .
fad .
needn't .
#kavanaughaccus .
anti-gop .
rofl .
flunki .
arron .
forevaaaaaaaaaaa .
👯♀️ .
dopey .
mistake .
#youbuiltthi .
#chicagodeathtol .
grandmast .
sutherland .
intelleg .
jackiedp .
#proudtobeaconservativefromacouncilest .
hoggi .
pas .
aus .
ginger .
honk .
crowbar .
renacci .
blane .
landown .
🗨️ .
hackett .
#webberforcongress .
#nj11 .
#impeach .
pro-law .
critique .
reaserch .
cdc .
cosign .
swinson .
occup .
g'night .
conjur .
america’ .
au .
doomsday .
#liberalsneedtheirownpsychward .
reputation .
schitt .
v.i.lenin .
scoundrel .
ribbon .
angelina .
imngonna .
uppdoals .
ramirez .
snell .
khabib .
guyyyi .
saver .
#cognitivedisson .
#tyranni .
#theleft .
half-centuri .
ferri .
fugit .
polanski .
primat .
perfectli .
id .
hesit .
woodword .
#susansarandon .
machin .
tories .
gleefulli .
hominem .
bed-buddi .
famil .
kowtow .
anti-gun .
#kanebrown .
#westandtogeth .
reputation’ .
tbqh .
ballin .
call-up .
ex-crackhead .
america-h .
ex-dem .
whoa-bama .
dismay .
#philadelphia .
#fantast .
❣ .
o'reilli .
alabama .
thst .
panick .
pro-nazi .
👍🏽 .
hahahahaha .
stiglitz .
stockbrok .
shitcago .
tml .
lex .
longgggg .
feb .
itsnot .
tbere .
robo .
starbuck .
birdlandia .
birdsiz .
serl .
birdbrain .
blunt .
heed .
bedroom .
implausibl .
trolli .
6k .
94k .
neverthelesssss .
birthdai .
cel .
continue .
#familyprotect .
rebrand .
livingtrust .
#ccw .
unlimit .
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#thedreamact .
#enddaca .
impart .
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thx .
hooper .
grit .
innuendo .
soooooound .
medi-car .
fairway .
swore .
elpizo .
mmz2 .
franklin .
i-q-2 .
detriment .
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biglli .
11k .
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#endcorrupt .
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#eagleonetowanta .
yummi .
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sequitur .
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phds .
open-mind .
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misappropri .
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autism .
sorta .
switzerland .
isra .
disagree .
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gravi .
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mibr .
fallen .
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robinson .
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nove .
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#theconcerttour .
tyr .
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sullivan .
innnew .
yourk .
specificalli .
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contemptu .
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lightweight .
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ew .
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greec .
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hedren .
rifftrax .
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whaooaaaaa .
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displeasur .
disgus .
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#abortion .
#slaveri .
#savethe8th .
#repealthe8th .
how’r .
anybody’ .
hourglass .
psych .
tua .
iq’s .
humour .
#communismkil .
#luciferiaris .
car-crash .
nicht .
haltbar .
temporär .
lösung .
dallon .
#hipster .
sped .
patchouli .
#ebt .
kod .
#russiacollus .
#deepstateisr .
atsushi-kun .
becar .
ahah .
turnbul .
turnbull’ .
prioritis .
discret .
ambigu .
shocktroop .
jeno .
skshsksk .
stipul .
zena .
descent .
desensit .
boatload .
deargod .
up.sh .
person.when .
assumption .
intellect .
shuttl .
wheelchair .
passeng .
lau .
sharpi .
rms .
feckin .
preorder .
isis-antifa .
#hous .
3bn .
450m .
25bn .
groundbreak .
200m .
#housingforal .
#housingmarket .
#nhf18 .
tis .
washer .
#theeconomist .
hanger .
untreat .
🤦🏾♀️ .
nfw .
unaccompani .
joli .
luigi .
6lack .
wam .
fever .
sotomay .
trol .
worwee .
gweek .
multiple .
anxietys .
nwot .
awone .
alamo .
realist .
mnuchin .
buse .
stagger .
careeeema .
eff .
sc’s .
bailout .
extensiv .
toffe .
junke .
#fakejournalist .
#nohonor .
#walkawayfromdemocratsnow .
facsist .
jace .
dorsey .
micki .
moonbeam .
coma .
transmiss .
goku .
amidst .
valley .
infant .
rhi .
low-growth .
high-regul .
🤷🏽 .
#entrepreneur .
#smb .
binocular .
mattress .
sicker .
conting .
camillekruger42 .
psychopath .
nano .
boondoggl .
depends .
#fakeuberdriv .
#bodywraprestraint .
#crimenew .
vicki .
barbolack .
re-victim .
tc .
omggggggg .
dogooodth .
🙏🏽 .
blister .
#tana .
sarandon .
acrimoni .
👌🏻 .
playboy .
contrari .
enshrin .
circumv .
telford .
safest .
flippant .
apparentl .
dismemb .
yahweh .
jus .
unexplain .
brock .
#cult45politburo .
orin .
💎 .
victor .
harbor .
lordt .
catfight .
meow .
agholor .
jmatt .
🌌 .
echr .
inhuman .
degrad .
korzemba .
retribut .
rtd .
movement-had .
fwd .
must-se .
cushionei .
thri .
amirit .
magnific .
tobi .
4-this .
knowingli .
namjoon .
♈️ .
mcfartney .
beatl .
jon .
surpis .
brim .
implic .
3d .
white-hot .
red-blood .
boots-on-the-ground .
avatar .
ai .
polytechno-fascists-avatar-digit .
non-real .
passrush .
exclusive .
soros-back .
de-funk .
anti-german .
pro-israel .
#gotourpiec .
absent .
bloom .
f-bomb .
golli .
mose .
stand-up .
reborn .
sinless .
salvat .
#tch .
hijinx .
chicaneri .
b'stard .
nacho .
rebecca .
athlete .
🚵♀️ .
epson .
choosen .
upgrad .
maid .
alga .
zip .
algorithm .
britain’ .
rizzo .
full-blown .
engross .
thame .
#fm19 .
finna .
crispi .
jog .
explicit .
side-not .
eye-open .
texas .
picant .
non-automat .
extraordinari .
britian .
501-3c .
privlag .
soundtrack .
dmed .
💪🏽 .
dwell .
that’s .
let’s .
promise .
#keel .
putz .
vetsresistsquadron .
scout .
orr .
worthwhil .
waitstaff .
🖋 .
mightier .
🗡 .
kook .
blob .
anglo-saxon .
reintroduc .
brocken .
semamt .
nugget .
yen .
backlink .
ju .
vers .
ferengi .
quin .
putrajaya .
dublin .
#ca .
#goa .
#gunright .
#selfdefens .
#a2 .
#gunfreezon .
butcher .
weeeehhhhh .
weeeeehhhhh .
dennison .
safeguard .
marshal .
freudian .
close-mind .
excommun .
we’re .
fingerprint .
pedal .
compel .
kavanah .
trek .
ff8 .
wang .
minuet .
faster .
be4 .
tooth .
oddli .
bwahahahahaha .
md .
thinkin .
psychiatrist .
jude .
thaddeus .
boochi .
unthink .
purrfect .
paw .
lieu .
1990s .
pushi .
royalti .
stopped .
#down_with_government_corrruption .
intentional .
hearsay .
lockstep .
dns .
juvenil .
nassar .
aggrav .
thyat .
fremino .
ahahaha .
damigo .
cock-a-doodle .
oops .
deborah .
zemk .
sunris .
heinz .
uncov .
uniron .
incarcer .
bald-fac .
fisher .
outlandish .
slither .
costanza .
bnp .
somerset .
chester .
burnley .
halifax .
invert .
💁🏽♂️ .
#yesonkavanaugh .
freaking .
wreath .
lowli .
exorc .
accordingly-you .
beto-mal .
whomev .
immigrantsileg .
dehuman .
againtsk .
bitchhhhhh .
jelllll .
received .
herring .
teller .
bezos .
purdue .
streeter .
salesforc .
marc .
benioff .
kamara .
#ecolog .
chicagojordan .
outdoor .
teump .
fluti .
👮♀️ .
cuter .
tha .
ebert .
vandal .
diminish .
c1900 .
6vol .
blackwood .
cowper .
freshman .
partier .
30-calib .
m-1 .
carbin .
2002-2017 .
runner .
3a .
snark .
helpless .
sleez .
trot .
unleaven .
ex-girlfriend .
#hasbeen .
ns .
fishermen .
n.s .
kameron .
scotian .
yeahh .
yvett .
felarca .
8-5-18 .
jag .
corrent .
corrente .
menendez .
r’s .
i-r .
#scotuspick .
#adulteri .
#mccain .
😟 .
skinni .
scammer .
spider-man .
owl’s .
#trump45 .
unflatt .
craze .
hubri .
republican-domin .
commerc .
sloven .
hizbollah .
natali .
youngest .
doubtfir .
scotland .
prevail .
bleachbit .
sledg .
waifu .
serena.sh .
wta .
carlo .
obscen .
snack .
92k .
255k .
woul .
#demsdesper .
nehru .
dynasti .
shaken .
eminent .
anti-india .
millfield .
fact-check .
battlefield .
_proven_ .
expung .
desert .
chancellor .
#merkelkrati .
#maassen .
#merkel .
#seehof .
replay .
js .
crystal .
uphil .
brainer .
humiliated .
defeated .
played .
choice .
caed .
elected .
kochsucker .
repl .
deez .
bea .
arthur .
coconut .
bedtim .
synchron .
#deutschebank .
forens .
db .
launder .
willie’ .
beano .
breatge .
kpop .
worser .
highway .
screamer .
raped .
gov’t .
pentagon .
👇🏼 .
survive.if .
deceas .
mukga .
coloni .
#puertorico .
jeezuz.fucking.christ .
#diásporaenresistencia .
maverick .
nerf .
bcoz .
jesu .
hobbit .
ringwraith .
qual .
bishop .
jonso .
dhudb .
history.but .
borders.doesn’t .
halt .
asb .
asa .
buzzword .
breakthrough .
eradic .
malaria .
kava .
dilemma .
#nikeboycott .
#colinkaepernick .
#nflfootbal .
#trumpresign .
kayla .
#councillor .
#groominggang .
#britain .
#islam .
devalu .
rodenburi .
evalu .
end.despic .
evann .
amid .
ciara .
naheru .
zina .
indira .
🐲 .
🐉 .
#theconstitutionisthesolut .
🔔 .
🐸 .
banish .
z-jail .
apple .
#walkawaymarch .
down.poof .
cloak .
tess_holliday .
disnei .
contradictori .
licker .
implant .
skinner .
deffo .
#schiff4brain .
shouldv .
dock .
speach .
spotti .
tantamount .
entrench .
alp .
transpir .
spanki .
🍀 .
dawg .
aalayah .
#endpc .
#portland .
#abort .
#endculturalmarx .
hay .
putin-puppet .
assang .
repro .
non-victim .
varieti .
esport .
3ph .
hrgggg .
hank .
jax’ .
ope .
faggot .
logan .
slain .
gunman .
bouncer .
trumpkin .
peipl .
slept .
noe .
krishn .
bhakt .
absenc .
chandigarh .
manship .
spreadsheet .
mayweath .
retcon .
barkley .
neuter .
telli .
kermit .
tapper .
basket .
#notonemor .
left-lean .
surprise .
leetpro .
thiveri .
osuit .
deregionis .
libleft .
🌸 .
student-loan .
pu .
relinquish .
alban .
roadwork .
patreon .
anxious .
shyster .
mumbai .
letharg .
hav .
horrific .
cowherd .
goff .
trubiski .
mcvay .
medicare-for-al .
pmb .
beati .
davidson .
rider .
modifi .
sportster .
awai .
qu’ran .
hollywood’ .
again.u .
sim .
urgenc .
quetsiyah .
amara .
sila .
#nocollus .
pumpkin .
#islamic .
#sapar .
#adelaid .
#abetterway .
bulgaria .
brexiti .
non-bind .
sanju .
aye .
dil .
yeh .
jawani .
barfi .
suceess .
dud .
conjectur .
undecid .
10downingstreet .
underpin .
mma .
y'know .
hungeri .
#justsay .
framer .
anti-federalist .
kyki .
anfield .
putain .
cliiimmmm .
#livpsg .
junket .
unbridl .
waronmen .
waroncop .
waronsocieti .
sarandron .
#metoomov .
espic .
#betonotfortexa .
mini-g8 .
donybrook .
#aumf .
#loveit .
tracksuit .
anonymous .
#troughtim .
♠️ .
o-ren .
ishii .
aura .
palmer .
undergo .
eval .
daesh .
wher .
changes .
#weakrino .
misus .
bludgeon .
victimhood .
parlay .
interesting-caus .
us-but .
regulari .
all-in .
suppor .
pauli .
craziest .
children’ .
#bds .
#sadiqkhan .
#warzon .
#mayor .
balloon .
#mayoroflondon .
opperman .
knockmi .
tellu .
hv .
nic .
24yr .
271bill .
yp .
wld .
76spa .
#battlebus .
rican’ .
subsidis .
smg .
meee .
cure .
ginseng .
menopaus .
mk .
coffer .
walden .
mccleod .
telecom .
anti-fair .
internet.anti .
reasonable .
#beto .
dreamdol .
saunder .
hobnob .
forclosur .
pompeo .
bibi .
#ditchmitch .
#peelpelosi .
narcissistic .
👊🏽 .
pple .
cun .
whitehal .
vote2019 .
germanistan .
childess .
rhonda .
too-mani .
angst .
voight .
yassssss .
burnol .
cadwel .
evritiem .
luci .
hale .
traveling .
poiting .
#larrynassar .
proverb .
anti-woman .
standbi .
#libshateamerica .
#commiessuck .
#marinesagainsttrump .
#kavano .
soo .
eliza .
larp .
penspeak .
darkest .
ptsd .
#nexit .
steril .
sterilize .
gripe .
grahn .
barbara .
sam’ .
ignore .
obsolet .
h3ll .
lobbyist .
sjc .
figjt .
spicoli .
hangin .
portland .
cop-kil .
#literalviol .
wahh .
6d .
begging .
#magaveteran .
#magatalk .
asylum .
tmx .
chinless .
#saveourcountri .
kay .
username .
thatd .
barun .
sobti .
fahrenheit .
#handmaid .
soutien .
#fascism .
#antifascist .
#votenoonkavanaugh .
soulmat .
taravat .
canadien .
citizenshop .
tru .
tranquil .
#crookedtrump .
#countrybeforeparti .
telling .
duster .
shit.al .
gunfir .
stoneman .
bagger .
d'uh .
corn .
#crazymaxin .
beloev .
älskar .
sverig .
🇸🇪 .
signag .
tolerate .
un-indict .
custodi .
neo-liber .
tax-pay .
centrism .
data.frame(word=featnames(dfmat_training),coef=as.vector(coef(m_elasticnet))[-1]) %>% arrange(desc(coef)) %>% head(20)
word coef
1 bitch 2.867842
2 fuck 2.626580
3 shit 2.547991
4 stupid 2.418958
5 idiot 2.385734
6 butt 2.203586
7 asshol 2.187643
8 suck 2.084022
9 disgust 1.997112
10 bastard 1.984574
11 ass 1.920336
12 hypocrit 1.911499
13 nigga 1.838451
14 nasti 1.795029
15 carrey 1.729586
16 indeed 1.724724
17 monster 1.690528
18 moron 1.678690
19 crap 1.642680
20 coward 1.632557
predict()
function makes predictions.
<- as.integer(predict(m_elasticnet, dfmat_training, type = "class"))
Yhat_train_m_elasticnet Yhat_train_m_elasticnet
[1] 0 0 0 1 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0
[38] 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
[112] 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
[149] 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 1 1 0 1 0 0
[223] 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0
[260] 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0
[297] 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0
[334] 0 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
[371] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0
[408] 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0
[445] 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
[482] 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 1
[519] 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0
[556] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[593] 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0
[630] 0 1 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0
[667] 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1
[704] 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0
[741] 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0
[778] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0
[815] 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1
[852] 0 0 0 0 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[889] 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0
[926] 1 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
[963] 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
[1000] 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0
[1037] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0
[1074] 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0
[1111] 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1
[1148] 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 0
[1185] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0
[1222] 0 0 0 1 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
[1259] 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[1296] 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0
[1333] 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1
[1370] 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
[1407] 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0
[1444] 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 0
[1481] 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[1518] 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
[1555] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 0
[1592] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0
[1629] 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 1
[1666] 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0
[1703] 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0
[1740] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0
[1777] 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0
[1814] 0 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0
[1851] 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
[1888] 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
[1925] 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[1962] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0
[1999] 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0
[2036] 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[2073] 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0
[2110] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
[2147] 0 1 0 0 0 0 0 1 1 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[2184] 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0
[2221] 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0
[2258] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0
[2295] 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0
[2332] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0
[2369] 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0
[2406] 0 0 0 1 0 0 1 1 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0
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[9473] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0
[9510] 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
table(dfmat_training$label, Yhat_train_m_elasticnet)
Yhat_train_m_elasticnet
0 1
0 6204 199
1 1648 1480
confusionMatrix(table(dfmat_training$label, Yhat_train_m_elasticnet), mode = "everything", positive = "1")
Confusion Matrix and Statistics
Yhat_train_m_elasticnet
0 1
0 6204 199
1 1648 1480
Accuracy : 0.8062
95% CI : (0.7981, 0.8141)
No Information Rate : 0.8238
P-Value [Acc > NIR] : 1
Kappa : 0.5015
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.8815
Specificity : 0.7901
Pos Pred Value : 0.4731
Neg Pred Value : 0.9689
Precision : 0.4731
Recall : 0.8815
F1 : 0.6158
Prevalence : 0.1762
Detection Rate : 0.1553
Detection Prevalence : 0.3282
Balanced Accuracy : 0.8358
'Positive' Class : 1
Since tokens not in the training set cannot be used for prediction, we use dfm_match()
to align the tokens in the testing set with those in the training set.
<- dfm_match(dfmat_test, features = featnames(dfmat_training)) dfmat_matched
<- as.integer(predict(m_elasticnet, dfmat_matched, type = "class"))
Yhat_test_m_elasticnet Yhat_test_m_elasticnet
[1] 1 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[38] 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0
[75] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 0
[112] 0 1 1 1 0 1 0 1 0 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0
[149] 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
[186] 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0
[223] 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 1 1
[260] 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0
[297] 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
[334] 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0 0 1 0 0 1
[371] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
[408] 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1
[445] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0
[482] 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[519] 0 1 0 0 0 0 1 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 0 1 0
[556] 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0
[593] 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[630] 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0
[667] 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0
[704] 0 0 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
[741] 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[778] 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0
[815] 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
[852] 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1
[889] 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
[926] 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 1 0 0
[963] 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
[1000] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[1037] 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
[1074] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1
[1111] 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
[1148] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0
[1185] 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1
[1222] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 0
[1259] 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0
[1296] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
[1333] 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[1370] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
[1407] 0 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0
[1444] 0 0 0 1 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
[1481] 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 0 1 1 1
[1518] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
[1555] 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0
[1592] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 1 1
[1629] 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 1 0 1 0 0 1
[1666] 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 1 0 0
[1703] 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0
[1740] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
[1777] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0
[1814] 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
[1851] 0 1 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0
[1888] 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
[1925] 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[1962] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 0 0 0 0
[1999] 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0
[2036] 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0
[2073] 0 0 0 0 0 1 0 0 0 1 0 1 1 1 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
[2110] 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[2147] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0
[2184] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[2221] 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
[2258] 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1
[2295] 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0
[2332] 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0
[2369] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
The .predict_proba() method returns the predicted probabilities for each category instead of the final prediction. Predicted probabilities can help us assess how confident the model is about each document. (This is important if you want to use active learning to train a model.) In this example, each document has two probabilities: one for label 0 (not offensive) and one for label 1 (offensive). The label with the higher probability will be the predicted label.
predict(m_elasticnet, dfmat_matched, type = "response")
lambda.1se
text9532 0.58645401
text9533 0.27992230
text9534 0.10766735
text9535 0.62950271
text9536 0.20632345
text9537 0.27927659
text9538 0.24986364
text9539 0.80730386
text9540 0.22915247
text9541 0.15461948
text9542 0.56849538
text9543 0.25861085
text9544 0.21243715
text9545 0.22172915
text9546 0.32948096
text9547 0.23373695
text9548 0.25084198
text9549 0.20632345
text9550 0.20632345
text9551 0.99846350
text9552 0.23133825
text9553 0.63056765
text9554 0.20632345
text9555 0.19016134
text9556 0.32773271
text9557 0.27337451
text9558 0.17012886
text9559 0.25712213
text9560 0.21453200
text9561 0.19401941
text9562 0.26748008
text9563 0.22088189
text9564 0.76865989
text9565 0.45269536
text9566 0.21949563
text9567 0.26094885
text9568 0.20632345
text9569 0.20632345
text9570 0.17658018
text9571 0.43742779
text9572 0.28247084
text9573 0.47327553
text9574 0.20112039
text9575 0.19100996
text9576 0.24657706
text9577 0.60098962
text9578 0.40114209
text9579 0.20632345
text9580 0.19100996
text9581 0.22110451
text9582 0.92568347
text9583 0.22353554
text9584 0.26199977
text9585 0.32221011
text9586 0.20632345
text9587 0.20632345
text9588 0.35451868
text9589 0.22607163
text9590 0.21280260
text9591 0.34885560
text9592 0.72105607
text9593 0.35715748
text9594 0.19016134
text9595 0.24433974
text9596 0.23794030
text9597 0.20632345
text9598 0.20632345
text9599 0.20632345
text9600 0.19641106
text9601 0.19016134
text9602 0.20632345
text9603 0.80733062
text9604 0.75592541
text9605 0.20632345
text9606 0.18312196
text9607 0.38413441
text9608 0.28551040
text9609 0.20907106
text9610 0.14593180
text9611 0.20632345
text9612 0.55372074
text9613 0.43123131
text9614 0.36403405
text9615 0.20632345
text9616 0.22110451
text9617 0.46313234
text9618 0.20632345
text9619 0.26748222
text9620 0.56409646
text9621 0.31650244
text9622 0.19510137
text9623 0.19338949
text9624 0.22915247
text9625 0.22915247
text9626 0.78233899
text9627 0.21412228
text9628 0.71299869
text9629 0.69987428
text9630 0.82062840
text9631 0.26364914
text9632 0.72350876
text9633 0.26560819
text9634 0.26096106
text9635 0.23397821
text9636 0.57085158
text9637 0.25168772
text9638 0.20632345
text9639 0.26280943
text9640 0.32116945
text9641 0.21289929
text9642 0.19401941
text9643 0.24310641
text9644 0.76851611
text9645 0.76421650
text9646 0.61702478
text9647 0.28239703
text9648 0.63947943
text9649 0.20632345
text9650 0.76675338
text9651 0.26358315
text9652 0.20632345
text9653 0.17573768
text9654 0.18432284
text9655 0.52086125
text9656 0.20632345
text9657 0.68348769
text9658 0.23010648
text9659 0.17695106
text9660 0.20632345
text9661 0.99808119
text9662 0.22278099
text9663 0.20632345
text9664 0.97827203
text9665 0.20632345
text9666 0.18871268
text9667 0.67224417
text9668 0.19856306
text9669 0.20632345
text9670 0.23373695
text9671 0.19137139
text9672 0.25370003
text9673 0.19401941
text9674 0.71593379
text9675 0.24601485
text9676 0.23892869
text9677 0.19437302
text9678 0.50391775
text9679 0.22630365
text9680 0.29036036
text9681 0.15950903
text9682 0.22330495
text9683 0.13168271
text9684 0.53917909
text9685 0.20632345
text9686 0.25370003
text9687 0.27664871
text9688 0.18410307
text9689 0.66731481
text9690 0.23373695
text9691 0.41594979
text9692 0.28180812
text9693 0.56935200
text9694 0.22915247
text9695 0.24823657
text9696 0.20632345
text9697 0.17487681
text9698 0.19401941
text9699 0.49734096
text9700 0.20632345
text9701 0.30018450
text9702 0.20632345
text9703 0.20313007
text9704 0.38866924
text9705 0.20632345
text9706 0.47343310
text9707 0.43805766
text9708 0.20632345
text9709 0.18487176
text9710 0.13148274
text9711 0.18042447
text9712 0.82232208
text9713 0.41774739
text9714 0.22511950
text9715 0.99791384
text9716 0.20799359
text9717 0.21156333
text9718 0.31081680
text9719 0.26538493
text9720 0.29297706
text9721 0.92486193
text9722 0.34345606
text9723 0.22278099
text9724 0.74550929
text9725 0.12137949
text9726 0.78233899
text9727 0.82062840
text9728 0.20632345
text9729 0.24802442
text9730 0.28961640
text9731 0.28343274
text9732 0.81946312
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text9759 0.63947943
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text9762 0.78233899
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text9765 0.20632345
text9766 0.98443727
text9767 0.33425528
text9768 0.13168271
text9769 0.34877855
text9770 0.20632345
text9771 0.22801060
text9772 0.22350903
text9773 0.26865801
text9774 0.19016134
text9775 0.19046598
text9776 0.20632345
text9777 0.73806967
text9778 0.28887317
text9779 0.42974214
text9780 0.22389450
text9781 0.66754961
text9782 0.20632345
text9783 0.57361238
text9784 0.14125959
text9785 0.12552551
text9786 0.16118877
text9787 0.29509107
text9788 0.20632345
text9789 0.87872837
text9790 0.78233899
text9791 0.81432357
text9792 0.22339212
text9793 0.39106457
text9794 0.70572474
text9795 0.45184190
text9796 0.20632345
text9797 0.27804237
text9798 0.20585598
text9799 0.23343135
text9800 0.20632345
text9801 0.20632345
text9802 0.20605880
text9803 0.20619109
text9804 0.19016134
text9805 0.20632345
text9806 0.23959481
text9807 0.20632345
text9808 0.27243327
text9809 0.24986364
text9810 0.21089135
text9811 0.19401941
text9812 0.78233899
text9813 0.14906309
text9814 0.18972174
text9815 0.65970197
text9816 0.20632345
text9817 0.28593640
text9818 0.78943721
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text9823 0.13167015
text9824 0.16695260
text9825 0.25370003
text9826 0.21097228
text9827 0.20632345
text9828 0.80883839
text9829 0.25159103
text9830 0.33966200
text9831 0.20632345
text9832 0.20244583
text9833 0.26377967
text9834 0.36614650
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text9838 0.67629371
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text9840 0.21216666
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text9843 0.26421304
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text9851 0.37520640
text9852 0.24059726
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text9874 0.15766510
text9875 0.53447285
text9876 0.65785073
text9877 0.28724557
text9878 0.20906039
text9879 0.86074110
text9880 0.21876621
text9881 0.94317341
text9882 0.23373695
text9883 0.20632345
text9884 0.20632345
text9885 0.19016134
text9886 0.33002924
text9887 0.68366459
text9888 0.39434884
text9889 0.45184190
text9890 0.27642572
text9891 0.56150876
text9892 0.59883093
text9893 0.20632345
text9894 0.82299886
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text9898 0.66518870
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text9901 0.72316297
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text9903 0.19721902
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text9925 0.21156333
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text9927 0.69257214
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text9930 0.20632345
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text9932 0.25835666
text9933 0.21289929
text9934 0.68063257
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text9936 0.47046481
text9937 0.42134806
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<- tweet_eval_offensive %>% filter(split=="test")
df_test $pred <- Yhat_test_m_elasticnet
df_test df_test
# A tibble: 2,385 × 5
text label idx split pred
<chr> <int> <int> <chr> <int>
1 "@user What a joke. Another dirty tricks Democrat o… 1 11127 test 1
2 "@user Gun control is not about guns. Gun control is… 0 3657 test 0
3 "@user What I'm saying MGK is claiming he is the mod… 0 6785 test 0
4 "@user #Trump gifted the 1% with #GOPTaxScam the big… 1 9666 test 1
5 "@user Gabole negatif thinking dong" 0 8167 test 0
6 "@user @user @user @user @user Ewww no one wants tha… 0 3808 test 0
7 "@user @user Telling Liberals, Trump is your Preside… 0 9437 test 0
8 "@user endorses felons\"\" ah yes and who are felons… 1 9787 test 1
9 "@user @user How about starting with gun control." 0 8515 test 0
10 "@user @user @user Haha 'affordable' homes. New flat… 0 4055 test 0
# ℹ 2,375 more rows
<- table(dfmat_matched$label, Yhat_test_m_elasticnet)
conf_mat_m_elasticnet conf_mat_m_elasticnet
Yhat_test_m_elasticnet
0 1
0 1487 85
1 480 333
/length(Yhat_test_m_elasticnet) conf_mat_m_elasticnet
Yhat_test_m_elasticnet
0 1
0 0.62348008 0.03563941
1 0.20125786 0.13962264
confusionMatrix(conf_mat_m_elasticnet, mode = "everything", positive = "1")
Confusion Matrix and Statistics
Yhat_test_m_elasticnet
0 1
0 1487 85
1 480 333
Accuracy : 0.7631
95% CI : (0.7455, 0.78)
No Information Rate : 0.8247
P-Value [Acc > NIR] : 1
Kappa : 0.4028
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7967
Specificity : 0.7560
Pos Pred Value : 0.4096
Neg Pred Value : 0.9459
Precision : 0.4096
Recall : 0.7967
F1 : 0.5410
Prevalence : 0.1753
Detection Rate : 0.1396
Detection Prevalence : 0.3409
Balanced Accuracy : 0.7763
'Positive' Class : 1
<- textmodel_nb(dfmat_training, dfmat_training$label)
m_nb summary(m_nb)
Call:
textmodel_nb.dfm(x = dfmat_training, y = dfmat_training$label)
Class Priors:
(showing first 2 elements)
0 1
0.5 0.5
Estimated Feature Scores:
scumbag consid run presid want public swear oath
0 2.481e-05 0.0003101 0.0008560 0.001489 0.003250 0.0005955 4.962e-05 1.489e-04
1 9.672e-05 0.0002902 0.0005997 0.001296 0.002534 0.0005029 1.161e-04 9.672e-05
school never tri cop feel liber like show
0 0.0007691 0.002097 0.002134 0.0002605 0.0009428 0.008448 0.006314 0.001327
1 0.0007544 0.001838 0.001973 0.0002321 0.0007738 0.008898 0.006848 0.001373
pure driven snow ik rapper think caus
0 0.0001489 4.962e-05 4.962e-05 2.481e-05 2.481e-05 0.004032 0.0006451
1 0.0001161 1.934e-05 3.869e-05 3.869e-05 1.934e-05 0.003482 0.0006577
anti-drug honest music good argu gun control
0 2.481e-05 0.0002853 7.443e-05 0.002977 0.0002357 0.008535 0.006835
1 1.934e-05 0.0003482 1.548e-04 0.002225 0.0002128 0.007409 0.006151
<- predict(m_nb, newdata = dfmat_matched)
Yhat_nb <- table(dfmat_matched$label, Yhat_nb)
conf_mat_m_nb conf_mat_m_nb
Yhat_nb
0 1
0 1103 469
1 282 531
confusionMatrix(conf_mat_m_nb, mode = "everything", positive = "1")
Confusion Matrix and Statistics
Yhat_nb
0 1
0 1103 469
1 282 531
Accuracy : 0.6851
95% CI : (0.666, 0.7037)
No Information Rate : 0.5807
P-Value [Acc > NIR] : < 2.2e-16
Kappa : 0.3361
Mcnemar's Test P-Value : 1.143e-11
Sensitivity : 0.5310
Specificity : 0.7964
Pos Pred Value : 0.6531
Neg Pred Value : 0.7017
Precision : 0.6531
Recall : 0.5310
F1 : 0.5858
Prevalence : 0.4193
Detection Rate : 0.2226
Detection Prevalence : 0.3409
Balanced Accuracy : 0.6637
'Positive' Class : 1
Exercise
Train and test a classifier for sentiment analysis using the highly polar movie reviews from the stanfordnlp/imdb
dataset on Hugging Face. Split the 25,000 movie reviews in the training set into separate training and testing sets.