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Sentiment Analysis of Text Using SVM
Yang Yong; Xu Chun; Ren Ge
2012
会议名称2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011
会议录名称Lecture Notes in Electrical Engineering
页码1133-1139
会议日期December 23, 2011 - December 25, 2011
会议地点Jiaozuo, Henan, China
出版地Germany
摘要

In recent years, development with the internet, information processing turns more and more important for us to get useful information. Text Categorization, the automated assigning of natural language texts to predefined categories based on their contents, is a task of increasing importance. Therefore, an approach of text emotional classification based on support vector machine was proposed. The system includes four parts: word segmentation, establishment emotional word database, training the model of classification, and testing. The system is actually used for classification of the reader's emotions that classify the text to achieve the purpose of forecast readers' emotion.

收录类别EI
文献类型会议论文
条目标识符http://ir.xjipc.cas.cn/handle/365002/2301
专题多语种信息技术研究室
作者单位Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science, Urumqi, China; College of Computer Science, XinJiang Normal University, Urumqi, China; College of Computer Science and Technology, Xinjiang University of Finance and Economics, Urumqi, China
推荐引用方式
GB/T 7714
Yang Yong,Xu Chun,Ren Ge. Sentiment Analysis of Text Using SVM[C]. Germany,2012:1133-1139.
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