%0 Journal Article
%T Research on Sentiment Classification of Collaborative Learning Based on Emotion Words and Sentiment Words<br>基于情绪词与情感词协作学习的情感分类方法研究
%A 代大明
%A 李寿山
%A 李培峰
%A 朱巧明
%J 计算机科学
%D 2012
%I 
%X Sentiment classification aims to distinguish the expressed sentiment categories by the text, such as positive vs. negative and agree vs. disagree. We used a opinion lexicon, together with a small scale of emotion key words to con- duct sentiment classification with unlabeled data. Specifically, a document word bipartite graph was builts, and then the opinion words and emotion words were served as labeled points while the documents were regarded as unlabeled points in the graph. Label propagation algorithm was used to propagate the label information of the words to the documents. Finally, the high confident automatically-labeled samples were used as training data for sentiment classification through collaborative learning method. Experimental results demonstrate that our approach achieves a good performance for sen- timent classification across multiple domains.
%K Emotion words
%K Sentiment words
%K Bipartite graph
%K Label propagation algorithm
%K Collaborative learning<br>情绪词，情感词，二部图，标签传播算法，协作学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=38EE2F0E8240D887D9246B50C8237F3B&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=59906B3B2830C2C5&sid=E2E0FBFE4D7EFB94&eid=FBA00558C57D9C11&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0