计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 67-69.doi: 10.11896/j.issn.1002-137X.2014.08.014
• 2013年全国理论计算机科学学术年会 • 上一篇 下一篇
周咏梅,阳爱民,杨佳能
ZHOU Yong-mei,YANG Ai-min and YANG Jia-neng
摘要： 情感词典研究是文本情感分析领域的一个重要内容；基于情感词典的文本情感分析方法是一种非常有效的方法。互联网上的新闻评论包含评论人的情感,对其情感进行自动分析研究是非常有意义的。借鉴图排序模型的原理,提出一种新闻评论情感词典构建方法,该方法首先通过新闻评论语料和基础情感词典获得评论情感词集和种子词,然后根据提出的基于PageRank算法的方法判定评论情感词集的极性并计算其强度,进而构建新闻评论情感词典。实验从情感词判定的准确性和基于构建的情感词典的分类性能两个方面验证了所提方法的有效性。
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