sentiment words 0.0040747019999999995
sentiment annotation 0.004074459
sentiment classification 0.004064598
sentiment classifier 0.0037260039999999998
positive sentiment 0.003700736
sentiment phrase 0.003487432
sentiment expression 0.003471359
sentiment complexity 0.00341857
sentiment anno 0.003416926
sentiment annota 0.003405421
records sentiment 0.003393067
implicit sentiment 0.003391525
sentiment judgment 0.003382067
sentiment flip 0.003378385
tect sentiment 0.003374606
sentiment 0.00316009
linguistic features 0.001761084
training data 0.001743193
data set 0.00169604
negative word 0.0016116009999999998
positive word 0.0015902859999999998
positive words 0.001455258
word count 0.0014209
other words 0.001411067
word list 0.001376881
word length 0.001352799
mean word 0.001342201
subjective word 0.0013416309999999998
movement data 0.0012982039999999999
regression model 0.001293886
framework features 0.0012804460000000002
data preparation 0.0012782969999999999
academic word 0.001267374
other sentences 0.001261332
annotation cost 0.001250222
annotation tasks 0.00123434
pricing model 0.001224166
ment annotation 0.001212682
timent annotation 0.0012103300000000001
annotation complex 0.001195824
annotated sentences 0.0011940549999999999
classification tech 0.00117897
annotation complexity 0.0011728490000000001
vocabulary words 0.00116536
annotation crowdsourcing 0.001162729
annotation com 0.0011627080000000001
implicit annotation 0.001145804
manual annotation 0.001141247
dependent words 0.001132338
simple sentences 0.00113104
emotion words 0.001130719
linguistic fea 0.001061661
language models 0.001053874
long sentences 0.001027413
input sentences 0.001025112
comparative sentences 0.00102495
features 0.00101927
ranking sentences 0.001011483
model 0.00100881
linguistic properties 9.77437E-4
movie twitter 9.70091E-4
twitter movie 9.70091E-4
different ways 9.51315E-4
test sentence 9.46067E-4
twitter corpus 9.44545E-4
linear domain 9.39367E-4
classifier accuracy 9.349550000000001E-4
feature extraction 9.202610000000001E-4
words 9.14612E-4
annotation 9.14369E-4
lexical level 9.127930000000001E-4
classification 9.04508E-4
training datasets 9.023740000000001E-4
feature description 8.763130000000001E-4
negative correlation 8.70917E-4
such complex 8.63717E-4
sentence semantic 8.476099999999999E-4
complex classifier 8.47369E-4
past work 8.46331E-4
classifier confidence 8.40246E-4
cross domain 8.373149999999999E-4
right classifier 8.20669E-4
negative corre 8.201390000000001E-4
movie corpus 8.051E-4
discourse connectors 7.93237E-4
primary language 7.90419E-4
gold labels 7.89589E-4
stanford twitter 7.8494E-4
subjective score 7.830830000000001E-4
average number 7.82081E-4
research fellowship 7.815379999999999E-4
multiple classifiers 7.81368E-4
twitter mixed 7.79037E-4
language processing 7.7806E-4
research academy 7.706379999999999E-4
tcs research 7.706379999999999E-4
future work 7.70312E-4
twitter mse 7.70166E-4
annotated dataset 7.69304E-4
confidence score 7.65424E-4
