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- W2158184123 abstract "Opinions may be expressed implicitly via inference over explicit sentiments and events that positively/negatively affect entities (goodFor/badFor events). We investigate how such inferences may be exploited to improve sentiment analysis, given goodFor/badFor event information. We apply Loopy Belief Propagation to propagate sentiments among entities. The graph-based model improves over explicit sentiment classification by 10 points in precision and, in an evaluation of the model itself, we find it has an 89% chance of propagating sentiments correctly." @default.
- W2158184123 created "2016-06-24" @default.
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- W2158184123 date "2014-01-01" @default.
- W2158184123 modified "2023-10-18" @default.
- W2158184123 title "Sentiment Propagation via Implicature Constraints" @default.
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- W2158184123 doi "https://doi.org/10.3115/v1/e14-1040" @default.
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