期刊文献+

从产品评论中挖掘观点:原理与算法分析 被引量:15

Mining Opinions from Product Review:Principles&Algorithmic Analysis
下载PDF
导出
摘要 本文首先对产品评论中的观点挖掘进行了形式化的描述,给出了基本的研究思路;接着分析了从产品评论中识别产品属性的原理,并对基于词汇共现的方法和基于机器学习的方法进行了比较;然后分析了对相关属性进行极性判断的原理,并对各种现行方法进行了比较;最后对观点挖掘在未来的发展热点进行了展望。 The paper first gives the formal definition of opinion mining in product review, describes the basic research ideas, analyzes the principles of identifying product attributes from product review, and compares the word based method and the machine learning-based method. Then, the paper analyzes the principles of determining the polarity of related attributes, and compares the existing methods. Finally, the paper predicts the development of opinion mining in future hotspot.
作者 余传明
出处 《情报理论与实践》 CSSCI 北大核心 2009年第7期124-128,共5页 Information Studies:Theory & Application
基金 国家自然科学基金(项目编号:70871082) 上海市第三期重点学科(项目编号:S30504) 上海市第三期本科教育高地(电子商务)项目资助成果之一
关键词 观点挖掘 情感分类 文本挖掘 opinion mining sentiment classification text mining
  • 相关文献

参考文献10

  • 1http://www.marketingcharts.com/uncatego rized/users-trust-grow-more-comfortable-with-web-20-tools-2319/-camp=newsletter&src=mc&type=textlink .
  • 2http://www.marketingcharts.com/interactive/most-consumers-read-and-rely-on-online-reviews-companies-must-adjust-2234/ .
  • 3SOMASUNDARAN S,RUPPENHOFER J,WIEBE J.Detec-ting arguing and sentiment in meetings[].SIGdial Work-shop on Discourse and Dialogue.2007
  • 4YANG C,LINK,CHEN HH.Emotion classification using Web blog corpora[].Proceedings of the IEEE/WIC/ACM Inter-national Conference on Web Intelligence.2007
  • 5BLEI D M,NG A Y,JORDAN MI.Latent dirichlet allocation[].Journal of Machine Learning Research.2003
  • 6BLEI D,LAFFERTYJ.Correlated topic models[].Proceed-ing of Advances in Neural Information Processing Systems.2006
  • 7GOLDENSOHN S B,HANNAN K,MCDONALD R.Building a sentiment summarizer for local service reviews[].Proceed-ings of NLP Challenges in the Information Explosion Era.2008
  • 8TURNEY P,LITTMAN M.Measuring praise and criticism:in-ference of semantic orientation from association[].ACM Transactions on Information Systems (TOIS).2003
  • 9ESULI A,SEBASTIANI F.SentiWordNet:a publicly available lexical resource for opinion mining[].Proceedings of theth Conference on Language Re-sources and Evaluation.2006
  • 10KANAYAMAH,NASUKAWA T.Fully automatic lexicon expan-sion for domain-oriented sentiment analysis[].Proceedings of Empirical Methods in Natural Language Processing.2006

同被引文献195

引证文献15

二级引证文献78

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部