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Sentiment Analysis of Text Using SVM
Yang Yong; Xu Chun; Ren Ge
2012
Conference Name2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011
Source PublicationLecture Notes in Electrical Engineering
Pages1133-1139
Conference DateDecember 23, 2011 - December 25, 2011
Conference PlaceJiaozuo, Henan, China
Publication PlaceGermany
Abstract

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.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2301
Collection多语种信息技术研究室
AffiliationXinjiang 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
Recommended Citation
GB/T 7714
Yang Yong,Xu Chun,Ren Ge. Sentiment Analysis of Text Using SVM[C]. Germany,2012:1133-1139.
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