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UNSUPERVISED SENTIMENT ANALYSIS FOR MULTIPLE SUBJECTS OF INTEREST USING DEPENDENCY PARSING AND LINGUISTIC HEURISTICS
UNSUPERVISED SENTIMENT ANALYSIS FOR MULTIPLE SUBJECTS OF INTEREST USING DEPENDENCY PARSING AND LINGUISTIC HEURISTICS
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机译:兴趣分析和语言狂热对多个主题的未监控情感分析
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摘要
Sentiment analysis is targeted toward a specific subject of interest (or selected subjects) in a passage of natural language text. A dependency tree is generated for the passage, and subtrees are found that have sentiment polarities which contribute to the subject(s) of interest. A targeted sentiment score is computed for the subject(s) of interest based on sentiment expressed in those subtrees. Consecutively occurring nouns in the passage are collapsed into a noun phrase, as are possessives with ensuing nouns. The sentiment expressed in a given subtree can be modified using various linguistic heuristics. For example, sentiment polarity which is modified by a negation word may be inverted, sentiment polarity which is modified by an intensifying word may be increased, or sentiment polarity which is modified by a diluting word may be decreased.
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