微博作为一种新兴的社交网络平台,逐渐成为公众发布个人信息,获取实时信息,表达个人观点的新平台。针对微博情感倾向判断的问题,提出了一种基于意群划分的中文微博情感倾向分析(STDSG)方法。引入意群的概念,提出微博意群划分算法,根据意群间的关系,考虑否定词、程度词及标点符号的对情感倾向分析的影响,提出计算微博意群情感倾向的方法。在给定的数据集上,实验结果准确率达到了80.1%,总体性能优于基于情感词典的方法及基于支持向量机的方法。
Abstract
Micro-blog as a new interaction social networking is rich in peoples opinions. Aiming at the Microblog sentiment orientation indetification,this paper proposes an algorithm based on the Sense Group partition.After an introduction to the concept of sense group, we propose the algorithm for the sense group partition. Then, together with the negative words, the degree words and punctuation, we establish the formula of sentiment identification based on the relationship between the sense groups. The experiments reveals an accuracy of 80.1%, outperformed the sentiment lexicon based approach and the SVM based method.
关键词
微博 /
意群 /
情感倾向
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Key words
Micro-blog /
sense group /
sentiment orientation
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参考文献
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脚注
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基金
国家自然科学基金项目资助(61203242)
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