• DocumentCode
    1945048
  • Title

    A Method of Extracting Product Trend Keywords from Press Releases to Analyze Product Strategy of Competitors

  • Author

    Shimizu, Yutaka ; Akiyoshi, Masanori ; Komoda, Norihisa

  • Author_Institution
    Graduate Sch. of Inf. Sci. & Technol., Osaka Univ.
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    631
  • Lastpage
    635
  • Abstract
    When a product planner develops new products it is important to analyze competitors´ existing products. In this research, we proposed a method of extracting product trend keywords from press releases to support product strategy analysis. In order to extract keywords from press releases, we utilize common phrases, which we call description patterns. A description pattern enables the extraction of keywords that describe those characteristics of a product that cannot be extracted simply by using word frequency. Additionally, we use derivation patterns, which are common phrases derived from a description pattern, to extract keywords more flexibly. By applying the proposed method to the press releases of two companies, we can extract keywords characterizing
  • Keywords
    marketing data processing; product development; word processing; keyword extraction; press releases; product strategy analysis; product trend keyword; word frequency; Companies; Computational intelligence; Computational modeling; Data mining; Frequency; Information analysis; Information science; Joining processes; Production; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631539
  • Filename
    1631539