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training data 0.002417115
gender data 0.002350978
twitter data 0.002060663
user gender 0.002054658
standard data 0.00201229
web data 0.001966889
test data 0.00195599
ing data 0.001947279
labeled data 0.001941017
unlabeled data 0.001863051
gold data 0.0018603489999999999
bootstrapped data 0.001808447
annotated data 0.0018032279999999998
user classification 0.001799988
data our 0.001799237
our data 0.001799237
dard data 0.001788329
opment data 0.0017842099999999998
notated data 0.0017842099999999998
different feature 0.001769417
learning class 0.0017094599999999999
possible user 0.0017093120000000002
same features 0.0017021290000000001
class attributes 0.001697619
name features 0.0016851890000000001
social class 0.00168472
work user 0.0016540650000000001
label features 0.001621688
feature labeling 0.001621109
supervised user 0.001587045
additional features 0.00157229
feature classes 0.0015629099999999998
bow features 0.001562141
features bow 0.001562141
user character 0.001545827
content features 0.0015457210000000001
class instances 0.001540554
user content 0.001538101
automatic user 0.001535572
usr features 0.0015294640000000001
user clas 0.001518943
separate features 0.0015054080000000002
user characterization 0.001505302
conceptual features 0.001497482
user characteriza 0.001490707
user roles 0.001488677
female class 0.001463851
specific class 0.001453834
various class 0.001432285
corresponding class 0.001373917
appropriate class 0.001360356
target class 0.001355922
class car 0.001339912
class hierarchy 0.001337409
features 0.00130001
feature representations 0.001297821
attribute information 0.001276652
gender classification 0.001269866
standard training 0.0012519850000000002
such attributes 0.001247513
twitter gender 0.001234221
gender classes 0.0012332279999999998
such knowledge 0.0012292100000000001
new training 0.001211129
gender prediction 0.001182528
large text 0.0011669900000000001
gender task 0.001166925
different classes 0.001148427
class 0.00114065
training examples 0.001130613
feature 0.00109195
standard classifier 0.0010894490000000001
function words 0.0010853170000000001
attribute extraction 0.001082849
different task 0.0010821239999999998
task attribute 0.001079071
labeling users 0.001077308
specific words 0.001066021
supervised system 0.0010633959999999999
text corpora 0.001056342
other attributes 0.0010506320000000001
natural language 0.001031384
language processing 0.001028605
dard training 0.001028024
training sizes 0.0010275850000000001
such lists 0.001027306
training exam 0.001025672
training pts 0.001023892
sense knowledge 0.00102097
twitter users 0.0010201020000000002
attribute lists 0.001011176
strapped system 0.001010429
attribute list 0.001004615
text categorization 9.97471E-4
true gender 9.93883E-4
bootstrapped system 9.884779999999999E-4
words end 9.81027E-4
media users 9.794460000000001E-4
target gender 9.7754E-4
