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中文摘要：
微博是一种在线交流形式，以其简短、方便和及时性在中国成为2011年的一个热点。本文以新浪微博为平台，通过抽取2011年7月23日“动车事故”发生后公众发表的微博并进行情感分析。提取了六维情感类（期待，高兴，喜爱，惊讶，焦虑，悲伤，生气和憎恨），构建了用于情感分析的模糊情感本体，建立了微博文本的影响力和情感计算方法，对“动车事故”后的公众情感随事态发展的变化进行了探讨。
英文摘要：
Microblogging is a form of online communication by which users broadcast brief text updates, it has been becoming an focus for its short, convenient and timeliness in China. In this article, we perform a sentiment analysis based on all public microblogging posts about ‘ motor car accident＇ broadcasted by Sina microblogging users between July 23 and August 1, 2011. We extract eight dimensions of sentiment （expect, joy, love, surprise, anxiety, sorrow, angry, hate）, build sentiment fuzzy ontology for sentiment analysis, establish sentiment compute method of microblogging, explore the change of public sentiment after ‘ motor car accident＇.
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Sentiment Classification of Chinese Online Reviews: Analyzing and Improving Supervised Machine Learn
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