【作者】 孙慧； 关毅； 董喜双；

【Author】 Sun Hui,Guan Yi,Dong Xishuang School of computer science and technology,Harbin Institute of Technology,Harbin,China 150001

【机构】 哈尔滨工业大学计算机科学与技术学院；

【摘要】 文本情感倾向性分析的基础是词汇情感倾向分析,本文针对基于词典的词汇情感倾向性分析方法中对情感词倾向绝对化标注问题,提出了一种获取上下文相关的词汇情感倾向方法。同时针对目前缺少包含上下文相关情感词标注资源的问题,使用最大熵交叉验证和手工校正结合的方法加以构造,并在此基础上构造了上下文相关的特征集合用来预测情感词在上下文中的情感倾向。实验表明,此种方法与基于词典的词语情感倾向性分析方法相比,F值提高了4.9%。更多还原

【Abstract】 Sentiment polarity analysis of words is the foundation of sentiment polarity analysis of texts.In current research,one disadvantage of methods based on lexicons is that it is to tag words priori sentiment polarity:out of context.This paper presents a method to obtain the contextual sentiment polarity of words.For the lack of contextual corpus for sentiment analysis,we combine maximum entropy based cross-validation and manual annotation to construct the corpus.Then a valid set of contextual features is extracted to predict the word contextual sentiment polarity in the context.Compared with the methods based on lexicons,experiments show that F score is improved by 4.9%.更多还原