词汇的情感倾向直接影响短语、句子、段落、篇章等更高层次语言粒度的情感倾向。对于基准词选取问题,该文提出了基于类别区分能力与情感词词表相结合的方法。考虑到词汇与其同义词很大程度上具有相同的情感倾向,我们提出了基于同义词的词汇情感倾向判别方法,这种方法一定程度上避免了数据稀疏问题。实验结果表明,基于同义词的词汇情感倾向判别方法优于仅采用目标词与基准词的词汇情感倾向判别方法。
Abstract
The word sentiment orientation directly influences the sentiment orientation of higher level linguistic unit, such as the phrase, the sentence, the paragraph and the text. This paper proposes a paradigm word selection method based on the category distinguishing ability of a word and the sentiment word table. In consideration of that a word usually has the same sentiment orientation with its synonyms, we propose a method for word sentiment orientation discriminating based on synonyms. The method can avoid the data sparseness issue in a certain extent. The experiment results indicate that the proposed method is superior to the method based on the object word and paradigm words.
Key words computer application; Chinese information processing; word sentiment orientation; paradigm word; relation intensity; synonym
关键词
计算机应用 /
中文信息处理 /
词汇情感倾向 /
基准词 /
关联强度 /
同义词
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Key words
computer application /
Chinese information processing /
word sentiment orientation /
paradigm word /
relation intensity /
synonym
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参考文献
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脚注
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基金
国家自然科学基金资助项目(60875040);教育部科学技术研究重点基金(2007018);教育部高等学校博士点基金(200801080006);山西省自然科学基金资助项目(2007011042);山西省重点实验室开放基金资助项目;山西高校科技研究开发项目(200611002)
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