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opinion mining 0.004846830000000001
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unsupervised opinion 0.0047854130000000005
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related opinion 0.004753348
opinion expression 0.004745773
individual opinion 0.004713045000000001
opinion expressions 0.0047057670000000005
opinion tar 0.004691984000000001
opinion summarization 0.004668478
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valid opinion 0.004655168
opinion min 0.004642063
opinion elements 0.0046375060000000004
opinion holders 0.004634
multiword opinion 0.004633427000000001
opinion polarities 0.004631883000000001
opinion expres 0.004631186000000001
respective opinion 0.004629007
anaphoric opinion 0.004629007
spective opinion 0.004629007
distinct opinion 0.004629007
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opinion 0.00436537
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target extraction 0.002044777
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extraction performance 0.001799423
single word 0.0017844290000000001
word distance 0.0017643770000000001
dependency graph 0.001629381
target candidates 0.0016286529999999999
graph candidate 0.0016026
sentiment analysis 0.0015873670000000001
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target pairs 0.001409254
target types 0.0014025639999999998
extraction task 0.0013969479999999999
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target ratio 0.0013638029999999998
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late target 0.001333079
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extraction setting 0.001258429
extraction zhuang 0.001242721
automatic extraction 0.001240395
formation extraction 0.001239383
undirected graph 0.0012355740000000001
different domains 0.001222913
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report results 0.001209623
review topic 0.001204621
crf algorithm 0.001203904
different cars 0.001195005
different movies 0.001193515
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dependency tree 0.001172427
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negative opinions 0.001147834
possible dependency 0.001139695
sentence level 0.001122516
same dataset 0.001118605
individual sentences 0.001100291
first dataset 0.001095216
typical sentences 0.001083379
same domain 0.001079163
sentiment 0.00107718
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target 0.0010695
direct dependency 0.001063953
dependency parser 0.001063489
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dependency paths 0.00105235
movie dataset 0.001046378
dataset precision 0.001044372
annotated sentences 0.001043025
previous research 0.00103183
review dataset 0.001031803
dependency parsing 0.0010316330000000001
dependency path 0.001015645
such paths 0.001010593
