• DocumentCode
    3723276
  • Title

    An Investigation of Effectiveness Using Topic Information Order to Classify Tourists Reviews

  • Author

    Shogo Nakamura;Makoto Okada;Kiyota Hashimoto

  • Author_Institution
    Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2015
  • Firstpage
    94
  • Lastpage
    97
  • Abstract
    The Sentiment analysis targeted customer reviews is an active research field in recent years. Customer reviews contain various topics that closely related to interest of reviewer and situation of utilization. Using this relation, it will be possible to show readers information that fits in interest of them. We collected customer reviews from a tourism information web site, estimate topics in the customer reviews by applying LDA and estimate that customer reviews was whether positive or negative.
  • Keywords
    "Boosting","Classification algorithms","Resource management","Machine learning algorithms","Decision trees"
  • Publisher
    ieee
  • Conference_Titel
    Computer Application Technologies (CCATS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CCATS.2015.32
  • Filename
    7372322
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3723276