大规模情感词典的构建及其在情感分类中的应用

摘要

以微博为代表的社会媒体的飞速发展为情感分析方向带来巨大的资源,同时也对情感分析算法的性能提出了更大的挑战.其中,现有的情感词典尤其是中文情感词典规模不足是影响情感分析性能的一个重要因素.为此,该文基于海量的微博数据,使用简单的文本统计算法,构建了一个十万词语/词组的大规模情感词典.我们以情感分析的基础任务——情感分类为例,将大规模情感词典作为特征用于该任务上,实验结果表明大规模词典有助于情感分类性能的提高.%Rapid development of social media,such as Micro-blog,brings lots of information as well as challenges for sentiment analysis.The limited size of Chinese sentiment lexicon is one critical influence on the performances of sentiment analysis.This paper proposes a simple statistical method to mine large amounts of sentiment words or phrases to construct a large scale 100,000 words/phrases from microblogs.We apply this large-scale lexicon to Chinese microblog sentiment classification,and the results confirm a clear performance improvement.