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体验评价文章抽取模型研究 被引量:2

An Extraction Model of Experience and Evaluation Article
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摘要 提出一种体验评价性文章判定、抽取模型,并构造原型系统完成博客体验评价文章抽取的评价实验。该模型基于文章的基本表现特征和简单的规则,不需要进行详细的语法语义分析,只需以文章中出现的体验对象、体验行为、体验评价描述短语三者搭配强度和距离来计算、判定文章是否为体验评价性文章。评价实验结果表明基于该模型的系统具有较高的抽取精度。 In this paper, an extraction model of experience and evaluation article is proposed, and an evaluation experiment about experience and evaluation article extraction from blogs is achieved. This model depends on collocation degree and distance of experience object, experience action, and experience evaluation instead of syntax analysis. The results of the experiment show that, the system based on this model achive high extraction precision.
出处 《现代图书情报技术》 CSSCI 北大核心 2009年第4期88-92,共5页 New Technology of Library and Information Service
基金 "日元贷款人才培养计划"(C01-P158)访问学者项目资助
关键词 搭配强度数据字典 体验评价特征值 抽取系统 Collocation degree data dictionary Experience and evaluation eigenvalue Extraction system
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  • 1TURNEY PD, LITTMAN ML. Measuring praise and criticism: inference of semantic orientation from association[ J]. ACM Transactions on Information System, 2003, 21(4): 315 -346. 被引量:1
  • 2YI J, NIBLACK W. Sentiment mining in WebFountain[ A]. Proceedings of the 21st International Conference on Data Engineering( ICDE 2005) [ C]. Washington, DC, USA: IEEE Computer Society Press, 2005. 1073 - 1083. 被引量:1
  • 3TURNEY PD. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews[ A]. Proceedings of the Association for Computational Linguistics 40th Anniversary Meeting[C]. Philadelphia, PA, USA, 2002. 417-424. 被引量:1
  • 4YU H, HATZIVSSILOGLOU V. Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences[ A]. Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing[ C]. Sapporo, Japan, 2003, 129 - 136. 被引量:1
  • 5TSOU BKY, YUEN RWM. Polarity classification of celebrity coverage in the Chinese press[ A]. International Conference on Intelligence Analysis[ C], Virginia, USA, 2005. 被引量:1
  • 6LIU B, HUM. Opinion observer: analyzing and comparing opinions on the web[ A]. International World Wide Web Conference Committee (IW3C2) [ C]. Chiba, Japan, 2005. 被引量:1
  • 7D Cai,S P Yu,J R Wen,et al.Extracting Content Structure for Web Pages Based on Visual Representation[C].Xi'an:Proc.of the 5th Asia Pacific Web Conf.,2003.928-937. 被引量:1
  • 8Chakrabarti S.Mining the Web:Discovering Knowledge from Hypertext Data[M].Morgan Kaufmann Publishers,2002. 被引量:1
  • 9Hammer J,Garcia-Molina H,Cho J,et al.Extracting Semi-structured Information from the Web[C].Proceedings of the Workshop on Management of Semi-structured Data,1997.283-294. 被引量:1
  • 10Chakrabarti S,Punera K,Subramanyam M.Accelerated Focused Crawling through On-line Relevance Feedback[C].Proceedings of the 11th International Conference on WWW,2002.148-159. 被引量:1

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