• DocumentCode
    3699221
  • Title

    A review on text mining

  • Author

    Yu Zhang;Mengdong Chen;Lianzhong Liu

  • Author_Institution
    School of Computer Science and Engineering, Beihang University, Beijing, China
  • fYear
    2015
  • Firstpage
    681
  • Lastpage
    685
  • Abstract
    Because of large amounts of unstructured text data generated on the Internet, text mining is believed to have high commercial value. Text mining is the process of extracting previously unknown, understandable, potential and practical patterns or knowledge from the collection of text data. This paper introduces the research status of text mining. Then several general models are described to know text mining in the overall perspective. At last we classify text mining work as text categorization, text clustering, association rule extraction and trend analysis according to applications.
  • Keywords
    "Text mining","Association rules","Text categorization","Market research","Knowledge discovery","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339149
  • Filename
    7339149