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model description 0.0017885
model convote 0.001766241
word vectors 0.001572656
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feature vector 0.001516111
phrase vector 0.001481745
words models 0.001460228
sentence level 0.001407646
vector representation 0.00139288
vector space 0.001376022
syntactic features 0.0013426129999999999
semantic features 0.001318717
training data 0.00131001
political bias 0.001306049
word choice 0.0013054850000000001
single sentence 0.001254792
many sentences 0.00125344
full sentence 0.001236879
sentence selection 0.001235382
sentence trees 0.0012326519999999999
parent vector 0.001232084
word types 0.0012171290000000002
word count 0.001216
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other vectors 0.0012141909999999999
word embeddings 0.0012128210000000002
training set 0.001212362
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label sentences 0.001193549
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pretrained word 0.0011912790000000002
political classification 0.0011714899999999999
sentence constructions 0.001170209
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sentence struc 0.001158799
sentence neg 0.00115817
biased sentence 0.0011389640000000001
specific features 0.001123525
phrase vectors 0.001106461
ideological bias 0.001101372
relation features 0.001097022
same task 0.0010969080000000002
sentiment analysis 0.0010847740000000002
neutral sentences 0.001082865
standard sentiment 0.001061068
rnn models 0.001059276
individual words 0.001055926
baseline models 0.0010554
complex sentences 0.001054425
neural language 0.001030701
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complete sentences 0.0010247659999999999
deep learning 0.001018625
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modeling sentiment 0.001006116
liberal bias 0.001004931
simple models 0.00100316
political ideology 0.001001924
bigram features 9.992529999999999E-4
political knowledge 9.98325E-4
ibc sentences 9.96174E-4
phrase level 9.94278E-4
syntactic information 9.93844E-4
bow features 9.92118E-4
other approaches 9.88141E-4
sentiment annotation 9.8607E-4
cator features 9.82357E-4
different rnn 9.736269999999999E-4
bias polarity 9.72447E-4
semantic information 9.69948E-4
such path 9.68518E-4
recursive neural 9.66808E-4
political position 9.559810000000001E-4
political science 9.55437E-4
vector 9.54057E-4
sentence 9.41056E-4
political party 9.39208E-4
topic models 9.39189E-4
bias detection 9.37677E-4
subjective language 9.3647E-4
active learning 9.3398E-4
learning tool 9.332940000000001E-4
training instances 9.3329E-4
phrase labels 9.31616E-4
annotated data 9.29914E-4
task first 9.29355E-4
implicit sentiment 9.231420000000001E-4
language use 9.20211E-4
subsentential sentiment 9.11069E-4
bias term 9.1037E-4
political annotations 9.08202E-4
political biases 9.00455E-4
training procedure 8.99273E-4
extra training 8.982700000000001E-4
arate training 8.982700000000001E-4
political ideologies 8.978090000000001E-4
