| 基于回应消息的中文微博情感分类方法 |
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| 引用本文： | 郭飞飞,王小华,谌志群,王荣波.基于回应消息的中文微博情感分类方法[J].杭州电子科技大学学报,2013(6):95-98. |
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| 作者姓名： | 郭飞飞 王小华 谌志群 王荣波 |
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| 作者单位： | 杭州电子科技大学认知与智能计算研究所,浙江杭州310018 |
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| 基金项目： | 基金项目：国家自然科学基金资助项目（61103101）,教育部人文社会科学研究基金资助项目（12YJCZH201） |
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| 摘 要： | 通过对中文微博情感分类的深入研究，该文提出了基于回应消息的中文微博情感分类方法。首先，对微博回应消息进行情感标注，然后利用回应消息情感分布结合SVM算法对微博文本情感进行分类；其次，对分类特征进行了详细分析。实验结果表明，该方法能够得到更高的准确率和召回率。
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| 关 键 词： | 中文微博 情感分类 回应消息 支持向量机 |
The Sentiment of Classification Method of Chinese Micro-blog Based on Replying Messages |
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| GUO Fei-fei,WANG Xiao-hua,CHEN Zhi-qun,WANG Rong-bo.The Sentiment of Classification Method of Chinese Micro-blog Based on Replying Messages[J].Journal of Hangzhou Dianzi University,2013(6):95-98. |
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| Authors: | GUO Fei-fei WANG Xiao-hua CHEN Zhi-qun WANG Rong-bo |
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| Affiliation: | (Institute of Cognitive and Intelligent Computing, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China) |
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| Abstract: | Based on the Chinese micro-blog text sentiment classification of in-depth study , this paper proposes a sentiment classification method to Chinese micro-blog based on replying message .Firstly the micro-blog＆#39;s response messages must be marked by the emotion tagging method , and then the results are used to classify the text＆#39;s emotion .Secondly the results which are generated from the first step are analyzed in detail . Experimental results show that the proposed method by this paper achieved the better precision and recall rate . |
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| Keywords: | Chinese micro-blog sentiment classification replying message support vector machine |
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