期刊文献+

意见时空元素的研究

A Study on Space-time Elements of Opinion
下载PDF
导出
摘要 为了满足新应用需求,该文将时空元素引入到意见模型中。在此基础上,提出了意见重要因子的概念,分析了时间重要因子的计算公式,对手机和汽车论坛的来源重要因子进行了实验。在时空元素的应用上,对汽车评论进行了趋势挖掘,探讨了意见趋势的挖掘方法和实验评估方法。 This paper introduces the space-time elements into opinion model,and proposes a concept of Opinion Important Factor.It analyzes the formulae of Time Important Factor and carries Resource Important Factor experiments on forums of cellular phone and mini-car.To validate the space-time elements,it mines the trends of mini-car reviews as well as discusses the opinion trend mining methods and its evaluations.
出处 《中文信息学报》 CSCD 北大核心 2011年第3期72-78,共7页 Journal of Chinese Information Processing
基金 国家自然科学基金资助项目(60773087)
关键词 时空元素 意见模型 重要因子 意见趋势 挖掘方法 space-time elements opinion model important factor opinion trend mining method
  • 相关文献

参考文献16

  • 1刘全升,姚天昉,黄高辉,刘军,宋鸿彦.汉语意见型主观性文本类型体系的研究[J].中文信息学报,2008,22(6):63-68. 被引量:3
  • 2Soo-Min Kim, Eduard Hovy. Determining the Senti- ment of Opinions [C]//Proceedings of COLING, 2004.
  • 3J. Yi, T. Nasukawa, R. Buneseu, and W. Niblack. Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Tech- niques [C]//Proceedings of the 3rd IEEE International Conference on Data Mining. Melbourne, Florida: IEEE, 2003:427-434.
  • 4M. Hu and B. Liu. Mining Opinion Features in Cus- tomer Reviews [C]//Proceedings of Nineteenth Na- tional Conference on Artificial Intelligence. San Jose ACM, 2004.
  • 5A.-M. Popescu and O. Etzioni. Extracting Product Features and Opinions from Reviews [C]//Proceed- ings of HL T-EMNLP-05, the Human Language Technology Conference/ Conference on Empirical Methods in Natural Language Processing. Vancouver, Canada : ACM, 2005 : 339-346.
  • 6V. Hatzivassiloglou and K. R. McKeown. Predicting the semantic orientation of adjectives[C]//Proeeedings of the ACL Conference, 1997 : 174-181.
  • 7P.D. Turney and M. L. Littman. Unsupervised learn- ing of semantic orientation from a hundred-billion-word corpus [R]. Technical Report ERB-1094, National Research Council Canada, Institute for Information Technology, 2002.
  • 8Peter D. Turney. Thumbs up or thumbs down? Se- mantic orientation applied to unsupervised classification of reviews [C]//Proceedings of the 40th Annual Meet- ing of the Association for Computational Linguistics. 2002.
  • 9姚天昉,程希文,徐飞玉,汉思·乌思克尔特,王睿.文本意见挖掘综述[J].中文信息学报,2008,22(3):71-80. 被引量:106
  • 10Gamon, M., A. Aue, S. Corston-Oliver and E. Ringger. Pulse: Mining Customer Opinions from Free Text[J]. Lecture Notes in Computer Science. 2005, 3646:121-132.

二级参考文献41

  • 1沈家煊.语言的“主观性”和“主观化”[J].外语教学与研究,2001,33(4):268-275. 被引量:2258
  • 2朱嫣岚,闵锦,周雅倩,黄萱菁,吴立德.基于HowNet的词汇语义倾向计算[J].中文信息学报,2006,20(1):14-20. 被引量:326
  • 3娄德成,姚天昉.汉语句子语义极性分析和观点抽取方法的研究[J].计算机应用,2006,26(11):2622-2625. 被引量:64
  • 4潘国英.论汉语动词重叠的主观性表达[J].修辞学习,2007(1):34-36. 被引量:20
  • 5徐琳宏,林鸿飞,杨志豪.基于语义理解的文本倾向性识别机制[J].中文信息学报,2007,21(1):96-100. 被引量:119
  • 6姚天昉,等.一个用于汉语汽车评论的意见挖掘系统[A].中文信息处理前沿进展-中国中文信息学会二十五周年学术会议论文集[C].北京:清华大学出版社,2006,260-281.
  • 7S.-M. Kim and E. Hovy. Determining the Sentiment of Opinions [A]. In: Proceedings of COLING-04, the Conference on Computational Linguistics (COLING-2004) [C]. Geneva, Switzerland: 2004, 1367-1373.
  • 8J. Yi, T. Nasukawa, R. Bunescu, and W. Niblack. Sentiment Analyzer; Extracting Sentiments about a Given Topic using Natural Language Processing Techniques [A]. In: Proceedings of the 3rd IEEE International Conference on Dala Mining (ICDM-2003) [C]. Melbourne, Florida: Z003, 427-434.
  • 9M. Hu and B. Liu. Mining Opinion Features in Cus tomer Reviews [A]. In: Proceedings of Nineteeth Na tional Conference on Artificial Intellgience (AAAI 2004) [C]. San Jose, USA: 2004.
  • 10A. M. Popescu and O. Etzioni. Extracting Product Features and Opinions from Reviews [A]. In: Proceedings of HI.T EMNLP-05, the Human Language Technology Conference/Conference on Empirical Methods in Natural Language Processing [C]. Vancouver, Canada.. 2005, 339-346.

共引文献110

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