features tweets 0.002178757
such features 0.002148217
twitter user 0.002048404
text features 0.0020013080000000003
data twitter 0.0019336140000000002
twitter data 0.0019336140000000002
name features 0.00190322
demographic features 0.001786538
strong features 0.001771563
unigram features 0.001756958
latent features 0.0017008
features screen 0.001692551
distinct features 0.001674133
irrelevant features 0.001653324
informative features 0.001651975
mographic features 0.0016505460000000001
twitter language 0.001626389
user profile 0.00161886
training data 0.0015957789999999999
twitter users 0.0015935720000000001
user name 0.00158636
test user 0.001506619
user figure 0.001504088
features 0.00146057
user fields 0.001456393
language users 0.001410573
users tweets 0.0014070649999999999
target user 0.001406377
many twitter 0.001397729
user description 0.001389964
user screen 0.001375691
additional data 0.001371101
language information 0.001344179
single twitter 0.001342701
prolific user 0.001335164
user cohort 0.0013322990000000001
user color 0.001331556
user descrip 0.001329996
tweet classifier 0.00129678
dataset language 0.001295984
different users 0.00129511
data size 0.001284197
unlabeled data 0.001269484
tweet training 0.00124727
sampling data 0.001231808
unsupervised data 0.001231666
twitter corpus 0.001230168
training set 0.0012245289999999998
different classifier 0.0012226009999999998
tweet text 0.001221149
guage data 0.001218008
data fur 0.001214786
many tweets 0.001211222
tweet content 0.001161448
text classifier 0.001157107
twitter url 0.0011492170000000001
twitter population 0.001146565
twitter account 0.001137875
male feature 0.0011278809999999998
feature pattern 0.001125823
single tweet 0.001118418
set performance 0.001099211
profile information 0.001097634
sociated twitter 0.0010905720000000002
uncharacterized twitter 0.0010905720000000002
total feature 0.00107094
other attributes 0.001069867
classifier performance 0.00105791
online users 0.0010577339999999998
large dataset 0.001055975
feature types 0.001052646
set accuracy 0.001049269
users figure 0.001049256
feature extraction 0.001039175
first classifier 0.0010331609999999999
feature space 0.001023085
input feature 0.001020805
test set 0.001020579
ing set 0.001017098
language use 0.001014652
classifier accuracy 0.001007968
feature counts 0.001006372
such models 0.0010059959999999999
tokenization feature 0.0010057109999999998
new information 0.001000151
new classifier 9.94036E-4
general users 9.923179999999998E-4
feature vec 9.86518E-4
feature genera 9.86518E-4
tweet texts 9.76612E-4
english tweets 9.734629999999999E-4
other cases 9.67451E-4
tweets condition 9.57027E-4
such languages 9.55152E-4
social media 9.51507E-4
automatic language 9.46437E-4
english users 9.44154E-4
tweets mean 9.38315E-4
mean tweets 9.38315E-4
average classifier 9.37391E-4
