Opinion Sentence Extraction and Sentiment Analysis for Chinese Microblogs

摘要：

　　Sentiment analysis of Chinese microblogs is important for scientific research in public opinion supervision, personalized recommendation and social computing.By studying the evaluation task of NLP&CC2012, we mainly im plement two tasks, namely the extraction of opinion sentence and the determi nation of sentiment orientation for microblogs.First, we manually label the sample of microblog corpus supplied by the organization, and expand the sen timent lexicon by introducing the Internet sentiment words; second, we con struct the different feature sets based on the analysis of the characteristic of Chinese microblogs.Finally, we use SVM classifier to generate a model based on training corpus, and implement the predication of test corpus.Evaluation re suits show our work has good performance on two tasks.

作者: Hanxiao Shi Wei Chen Xiaojun Li

作者单位: School of Computer Science and Information Engineering, Zhejiang GongShang University, Hangzhou 310018

会议类型: 国际会议

会议名称: Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)

会议地点: 重庆

会议语种:英文

页码: 417-423

在线出版日期: 2013-11-15（万方平台首次上网日期，不代表论文的发表时间）