期刊文献+

基于HowNet的句子褒贬倾向性研究 被引量:31

Sentence orientation research based on HowNet
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摘要 文本倾向性识别在信息过滤、自动文摘、文本分类等领域有广泛的应用前景。句子倾向性研究是文本倾向性识别的基础,结合句法分析结果和词语语义倾向性可以衡量句子褒贬倾向性。以HowNet的词汇语义相似度计算为基础,提出了基于的语义距离和语法距离的句子褒贬倾向性计算方法。大量语句实验表明,该方法的计算结果与人工判别结果更接近。 Text orientation recognition has broad application in some field such as information filtering,automatic abstracting and text classification.The sentence tendentiousness research is the text tendentiousness recognition foundation,the authors measure appraisal tendentious of a sentence considering of the syntax analysis result and words semantics orientation.Based on the HowNet semantic similarity calculation,the paper points a new method to compute appraisial orientation of sentence in the base of syntax and semantic distance.Experiments in some statements show that results of the method are closer to manual evaluation.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第22期143-145,共3页 Computer Engineering and Applications
基金 河南省教育厅自然科学基金项目(No2008B520031) 许昌市科技局科技发展计划项目(No07020062)
关键词 语义相似度 语法分析树 语义距离 语法距离 倾向性识别 semantic similarity syntactic tree semantic distance grammar distance tendentious recognition
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参考文献7

  • 1Kamps J,Marx M,Mokken R J,et al.Using WordNet to measure semantic orientation of adjectives[C]//Proceedings of 4th International Conference on Language Resources and Evaluation LREC- 04,Lisbon, 2004:1115-1118.
  • 2Hatzivassiloglou V,McKeown K R.Predicting the semantic orientation of adjectives[C]//Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACLC, 1997: 174-181.
  • 3Turney P,Littman M.Measuring praise and criticism:inference of semantic orientation from association[J].ACM Transactionson Information Systems,2003,21 (4) : 315-346.
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  • 7哈工大语言技术平台[EB/OL]:http://ir.hit.edu.cn/demo/ltp/.

二级参考文献6

  • 1Turney P.Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews[C].//Proceedings of the 40th Annual Meeting of the Association for Conputational Linguistics,2002.
  • 2Hatzivassiloglou V,Mckeown K R.Predicting the semantic orientation of adjectives[C]//Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics,1997.
  • 3Pang B,Lee L,Vaithyanathan S.Thumbs up? Sentiment classification using machine learning techniques[C]//Proceedings of the 2002Conference on Empirical Methods in Natural Language Processing,2002.
  • 4Tong R M.An operational system for detecting and tracking opinions in on-line discussions[C]//Working Notes of the ACM SIGIR 2001Workshop on Operational Text Classification,2001.
  • 5Yang Y.An Evaluation of statistical approaches to text categogrization[J].Journal of Information Retrieval,1999,1 (1/2):67-88.
  • 6张学工.关于统计学习理论与支持向量机[J].自动化学报,2000,26(1):32-42. 被引量:2279

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二级引证文献299

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