• DocumentCode
    3536899
  • Title

    The features-based evolution of the opinions in forums using a semantic summarization approach

  • Author

    Cercel, Dumitru-Clementin ; Trausan-Matu, Stefan

  • Author_Institution
    Fac. of Autom. Control & Computes Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    The consumers do not often express their opinions on the entity itself, but about its features. Our overall goal is represented by the visualization of the evolution of opinions in a collection of forums data, which simplifies the graph with messages that contain opinions. In the final graph, each node resulted from the aggregation of the opinions with the same polarity from the neighboring nodes contains the opinion polarity and words that give the respective polarity. For this purpose, in this paper we identify the features for a target entity, we search opinions about features and we analyze the opinion sentences. In the proposed solution, we adopt an approach to opinion summarization.
  • Keywords
    data mining; graph theory; evolution of opinions; features-based evolution; final graph; forums data; opinion sentences; opinion summarization; semantic summarization; Batteries; Cellular phones; Classification algorithms; Data visualization; Electronic mail; Feature extraction; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Computer Science (ICSCS), 2013 2nd International Conference on
  • Conference_Location
    Villeneuve d´Ascq
  • Print_ISBN
    978-1-4799-2020-4
  • Type

    conf

  • DOI
    10.1109/IcConSCS.2013.6632051
  • Filename
    6632051