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word bigrams 0.0021288469999999997
language model 0.001958263
such words 0.001775704
other model 0.001738477
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model approach 0.001617632
review corpus 0.001586217
review distribution 0.001582019
review language 0.001546373
common words 0.001496997
generative model 0.001493946
mixture model 0.001459051
ture model 0.001457413
guage model 0.0014535260000000001
language models 0.0014377489999999999
test data 0.0014225499999999999
effective model 0.001418017
corpus frequency 0.001386763
such models 0.00136694
many reviews 0.001343324
critical words 0.0013406569999999999
frequent words 0.001333714
restaurant review 0.001284622
test corpus 0.0012711340000000002
restaurant reviews 0.0012654799999999998
different length 0.001259581
text review 0.001246422
object corpus 0.00123515
ment data 0.001231447
text reviews 0.0012272799999999999
data sparsity 0.001220129
development data 0.001214846
review object 0.0011849529999999999
model 0.0011799
large corpus 0.0011793440000000001
movie reviews 0.001171922
above review 0.001152279
review length 0.001139536
different ways 0.001138918
additional information 0.001138267
different components 0.001134876
different thresholds 0.001132672
information extraction 0.001123748
review matching 0.0011230049999999998
information retrieval 0.001100757
uniform distribution 0.001099054
such techniques 0.001094454
same restaurant 0.001083922
view language 0.001074504
words 0.00106815
language modeling 0.001059253
full reviews 0.0010585759999999999
standard document 0.0010563
first step 0.0010559190000000002
review texts 0.0010517909999999998
document frequency 0.001051198
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generic language 0.001039267
review collection 0.00103403
yelp review 0.001032442
review lan 0.001030514
generic review 0.001028914
camera reviews 0.0010267639999999999
only reviews 0.001019042
review generation 0.001017776
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yelp reviews 0.0010133
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review pages 0.001008557
business information 0.001008505
review page 0.001005669
expensive information 0.001004632
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reviews inrtest 9.96468E-4
tion models 9.90471E-4
reviews inr 9.882509999999999E-4
general method 9.84634E-4
such correspondence 9.844839999999999E-4
same score 9.74074E-4
same performance 9.49719E-4
extraction methods 9.398820000000001E-4
restaurant object 9.33555E-4
same number 9.303460000000001E-4
test set 9.21992E-4
construct models 8.971879999999999E-4
corresponding restaurant 8.93333E-4
same idf 8.91453E-4
same name 8.91359E-4
naive way 8.845330000000001E-4
based methods 8.74007E-4
principled method 8.73863E-4
vocabulary size 8.734019999999999E-4
standard tfidf 8.70418E-4
restaurant example 8.6786E-4
opinion topic 8.676E-4
matching step 8.66566E-4
restaurant objects 8.631849999999999E-4
