• DocumentCode
    3592113
  • Title

    Multi-document Text Summarization for Competitor Intelligence: A Methodology

  • Author

    Chakraborti, Swapnajit ; Dey, Shubhamoy

  • Author_Institution
    Dept. of Inf. Syst., Indian Inst. of Manage., Indore, India
  • fYear
    2014
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    With increasing adoption of Internet and various social media technologies by companies, the web has become a rich source of information about many aspects of organizational activities. Hence one input towards gathering competitive intelligence is to mine the text sources available on the web for any particular company and use the summarized version of that information for strategic decision making. This paper discusses a methodological approach and an architecture for such summarization system which can be used for gathering competitor intelligence by the companies.
  • Keywords
    Internet; competitive intelligence; data mining; text analysis; Internet; World Wide Web; competitive intelligence; competitor intelligence; multidocument text summarization system; organizational activities; social media technologies; strategic decision making; text sources; Business; Expert systems; Hidden Markov models; Ontologies; Semantics; Standards; Clustering; Competitor Intelligence; Decision Support Systems; Multi Document Summarization; Text Analysis; Text Summarization; Topic Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Business Intelligence (ISCBI), 2014 2nd International Symposium on
  • Print_ISBN
    978-1-4799-7551-8
  • Type

    conf

  • DOI
    10.1109/ISCBI.2014.28
  • Filename
    7119542