电子商务产品评论多级情感分析的研究与实现

被引:8
作者
魏晶晶
吴晓吟
机构
[1] 北京邮电大学软件学院
关键词
情感分析; 多级; SVM;
D O I
暂无
中图分类号
TP391.1 [文字信息处理]; F713.36 [电子贸易、网上贸易];
学科分类号
081203 ; 0835 ; 1201 ;
摘要
情感分析是得到文本正负中性情感的过程。该论文以电子商务评论为例,对其进行了情感分析。与电子商务中五星打分制相一致,评论最终被划分为:强烈贬意、一般贬意、中性、一般褒扬、强烈褒扬5级的情感强度。实现分为以下两个步骤:(1)句子级情感分析:通过复杂句句法模式和基于词典的算法得到评论中每个句子的情感倾向;(2)篇章级情感分析:即得到评论的总体情感倾向,采用了两种方法进行比较:一种为通过统计和比较评论中正面,负面和中性的句子的数量来得到评论,另一种则是通过SVM监督学习的方法,结果显示SVM方法性能更好。
引用
收藏
页码:65 / 67+94 +94
页数:4
相关论文
共 25 条
[1]  
A Role-based Customer review Mining System. Shang W,Qu Y,Huang H, et al. 2006 IEEE International Conference on Systems, Man, and Cybernetics . 2006
[2]  
Measuring praise and criticism[J] . Peter D. Turney,Michael L. Littman. &nbspACM Transactions on Information Systems (TOIS) . 2003 (4)
[3]  
A sentimental education:sentiment analysis using subjectivity summarization based on minimum cuts:Association for Computational Linguistics. Pang B,Lee L. ACL’’04 . 2004
[4]  
A vector space model for automatic indexing[J] . G. Salton,A. Wong,C. S. Yang. &nbspCommunications of the ACM . 1975 (11)
[5]  
Affect analysis of text using fuzzy semantic typing. Subasic, P.,Huettner, A. Fuzzy Systems, IEEE Transactions on . 2001
[6]  
Integrating classification and association rule mining. Bing Liu,Wynne Hsu,Yiming Ma. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98) . 1998
[7]  
Predicting the semantic orientation of adjectives. Vasileios Hatzivassiloglou,Kathleen R McKcown. Proceedings of the Thirty-Fifth Annual Meeting of the Association for Computational Linguistics and the Eighth Conference of the European Chapter of the Association for Computational Linguistics . 1997
[8]  
Nearest neighbor pattern classification. Cover TM,Hart PE. IEEE Transactions on Information Theory . 1967
[9]  
Thumbs up? sentiment classification using machine learning techniques. Bo Pang,Lillian Lee,Shivakumar Vaithyanathan. Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 2002
[10]  
Identifying Comparative Sentences in Text Documents. Nitin Jindal,Bing Liu. Proceedings of the 29th Annual International ACM SIGIR Conference on Research&Development on Information Retrieval(SIGIR-06) . 2006