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different opinion 0.005067965
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opinion relations 0.004818277
negative opinion 0.0047554
previous opinion 0.004721199
opinion mining 0.004683607
mining opinion 0.004683607
work opinion 0.004649151
positive opinion 0.004591703
opinion expression 0.004569178
opinion lexicon 0.00456582
opinion representation 0.00454981
individual opinion 0.004548842
adjacent opinion 0.0045343399999999996
original opinion 0.00452557
multiple opinion 0.004519253
external opinion 0.00451526
opinion expressions 0.004511235
opinion expansion 0.004485279
opinion restriction 0.004479414
opinion unit 0.004472652
opinion thread 0.004472103
opinion expres 0.004456428
tive opinion 0.004455075
opinion holder 0.004454831
opinion structures 0.00445335
opinion expan 0.00445335
opinion expansions 0.00445335
opinion represen 0.00445335
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opinion units 0.00445335
opinion 0.00418479
sentiment word 0.00266154
target target 0.00227334
chinese word 0.002253166
sentiment information 0.002152484
information extraction 0.001923416
chinese sentiment 0.001910686
word table 0.001861227
word sequence 0.001795795
word segment 0.001790989
sentiment analysis 0.001731884
previous sentiment 0.001695939
target edge 0.00160627
evaluation target 0.001591762
other words 0.001577837
level sentiment 0.001556816
sentiment lexicon 0.0015405599999999998
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transition target 0.001524171
number target 0.0015213800000000001
syntactic information 0.001518078
flow model 0.001515578
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mining results 0.0015049870000000002
entire sentiment 0.0014856449999999998
sentiment classification 0.001482628
global sentiment 0.001469197
novel sentiment 0.001468383
whole sentiment 0.00144698
expansion target 0.001437159
parsing model 0.001435188
complete sentiment 0.001434047
target restriction 0.001431294
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sentiment represetation 0.001428952
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test results 0.0014179890000000001
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uation target 0.001406798
related information 0.0013947990000000002
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result graph 0.0013740150000000001
analysis method 0.0013724179999999998
relation extraction 0.001368306
additional information 0.0013656290000000001
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vertices extraction 0.0013469719999999999
order model 0.001346425
representation graph 0.001345639
putational model 0.001335337
ysis model 0.001335337
underlying model 0.001335337
classification results 0.001329268
inference algorithm 0.00131981
directed graph 0.001311295
correct graph 0.001303031
tree method 0.001297233
chinese corpus 0.0012937040000000001
other opinions 0.001293163
extraction tasks 0.001292051
acyclic graph 0.001281838
incomplete results 0.001276788
labeling method 0.001275706
aggressive algorithm 0.001273174
graph property 0.001272331
whole algorithm 0.001268304
