• DocumentCode
    2214597
  • Title

    Advances in Theories and Applications of Text Mining

  • Author

    Shi, Guoliang ; Kong, Yanqing

  • Author_Institution
    Bus. Sch., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4167
  • Lastpage
    4170
  • Abstract
    Text Mining (TM) is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human´s ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM and its definition and then gives an overview of the process of text mining and the applications. In the end, it shows the importance of TM in knowledge discovery and highlights the up-coming challenges of document mining and the opportunities it offers.
  • Keywords
    data mining; text analysis; document mining; knowledge discovery; text association analysis; text feature expression; text mining process; Application software; Conference management; Content management; Data mining; Databases; Engineering management; Information science; Natural languages; Statistics; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.214
  • Filename
    5454813