• DocumentCode
    390582
  • Title

    An algorithm for text categorization with SVM

  • Author

    Jun, Hu ; Houkuan, Huang

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2002
  • fDate
    28-31 Oct. 2002
  • Firstpage
    47
  • Abstract
    The paper summarily introduces some aspects about data mining, text categorization and support vector machines and shows general process of text machine learning. It suggests a method of transforming text categorization problem to a series of binary classification problems and presents an algorithm for text categorization with SVM.
  • Keywords
    data mining; learning (artificial intelligence); support vector machines; binary classification problems; data mining; support vector machines; text categorization; Data mining; Feature extraction; Information retrieval; Machine learning; Machine learning algorithms; Signal processing algorithms; Support vector machine classification; Support vector machines; Testing; Text categorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
  • Print_ISBN
    0-7803-7490-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2002.1181211
  • Filename
    1181211
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=390582