• DocumentCode
    1909977
  • Title

    Comprehensive Information Based Semantic Orientation Identification

  • Author

    Wu, Yun ; Zhang, Yan ; Luo, Si-ming ; Wang, Xiao-jie

  • Author_Institution
    CISTR, Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2007
  • fDate
    Aug. 30 2007-Sept. 1 2007
  • Firstpage
    274
  • Lastpage
    279
  • Abstract
    The identification of the texts´ attitude orientation is to identify the opinion on a special issue in a text is supporting or opposing. This paper introduces a method to identify the orientation of a Chinese text´s attitude using the comprehensive information acquired form the text. First, we label the text with information in several layers, which include information of segmentation, POS, semantic role and semantic emotional orientation. We add these information to a text step by step, and make use of them to identify the attitude orientation of the text in a given topic. Experiments show that, the orientation identifier which uses above comprehensive information from syntactic, semantic and pragmatic levels has better performance in this task than some others.
  • Keywords
    natural language processing; text analysis; Chinese text attitude orientation; comprehensive information based semantic orientation identification; Classification algorithms; Data mining; Fuzzy sets; Information analysis; Information theory; Labeling; Machine learning; Machine learning algorithms; Process design; Text categorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1610-3
  • Electronic_ISBN
    978-1-4244-1611-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2007.4368043
  • Filename
    4368043