计算机科学 ›› 2014, Vol. 41 ›› Issue (9): 253-258.doi: 10.11896/j.issn.1002-137X.2014.09.048
牛耘,潘明慧,魏欧,蔡昕烨
NIU Yun,PAN Ming-hui,WEI Ou and CAI Xin-ye
摘要： 微博等社交媒体已成为表达个人情绪和感受的重要平台。自动分析微博文本表达的情绪对于迅速了解大众情绪走向以及调节个人情绪有着重要的意义。文中首次针对中文微博中的情绪进行自动分析,识别微博表达的喜、哀、怒、惧情绪。提出以词典为依据的基于规则的方法,通过实验详细分析了中文情绪词典在社交媒体文本分析中的现状,讨论了存在的主要问题。并深入讨论了微博中情绪表达的语言特点,为建立高精度的情绪分析系统提供了依据。
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