• DocumentCode
    3312442
  • Title

    Semantic based Chinese sentence sentiment analysis

  • Author

    Chengxiang Yuan ; Yi Zhuang ; Haohong Li

  • Author_Institution
    Coll. of Comput. & Inf. Eng., ZheJiang Gongshang Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2099
  • Lastpage
    2103
  • Abstract
    A sentiment analysis (SA) method for Chinese is presented in this paper. First, natural language processing (NLP) technique is used to analyze the interdependence relationship between components of the sentence, then the syntax components are detected which affect the sentence sentiment. Finally, a sentence sentiment is calculated. The sentiment of some terms is variable. To improve the precision and recall of our method, domain ontology is used to analyze the sentiment of those terms.
  • Keywords
    computational linguistics; natural language processing; ontologies (artificial intelligence); semantic networks; text analysis; NLP technique; SA method; domain ontology; interdependence relationship; natural language processing technique; semantic based Chinese sentence sentiment analysis; syntax components; Algorithm design and analysis; Compounds; Natural language processing; Ontologies; Semantics; Syntactics; Tagging; Sentiment analysis; natural language processing; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019960
  • Filename
    6019960
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3312442