• DocumentCode
    3738952
  • Title

    Using rays cycle mining to clarify sentiment analysis

  • Author

    James P. Buckley;Jennifer Seitzer;Matt Mize

  • Author_Institution
    Computer Science Department, University of Dayton, 300 College Park, Ohio 45469-2160, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The goal of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Cycles are of use in identifying particularly interesting patterns of opinion. In this paper we use RAY cycle mining to determine sentiment. RAY cycles are defined and an example is shown to illustrate how RAY cycles can be of benefit in sentiment analysis.
  • Keywords
    Indexes
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2015 6th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2015.7395192
  • Filename
    7395192