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引用次数: 0

摘要

处理否定问题对情感分析具有重要意义。以往的研究大多采用简单的启发式规则,在固定的语境窗口内进行情绪否定消歧。本文提出了一种有监督的方法来判别在固执己见的句子中,哪个情感词附在否定词(如“(不)”)后面。实验结果表明,该方法比传统方法具有更好的性能。
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Negation disambiguation using the maximum entropy model
Handling negation issue is of great significance for sentiment analysis. Most previous studies adopted a simple heuristic rule for sentiment negation disambiguation within a fixed context window. In this paper we present a supervised method to disambiguate which sentiment word is attached to the negator such as “(not)” in an opinionated sentence. Experimental results show that our method can achieve better performance than traditional methods.
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