• DocumentCode
    603580
  • Title

    Comparative analysis of the techniques for Sentiment Analysis

  • Author

    Ghag, K. ; Shah, Karan

  • Author_Institution
    Dept. of Inf. Technol., MET´s Shah & Anchor Kutchhi Eng. Coll., Mumbai, India
  • fYear
    2013
  • fDate
    23-25 Jan. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Sentiment Analysis deals with identifying and aggregating the sentiment or opinions expressed by the users. Sentiment Analysis could be carried out by techniques that may or may not use a lexicon for polarity identification. Training data set i.e. already tagged opinions may or may not be used. Some sentiment analyser could be language dependent or some could be language independent, also called as multilingual sentiment analysers. A detailed survey on different techniques used in Sentiment Analysis is carried out. These techniques are then compared on the basis of usage of lexicon, requirement of training set and language dependency. These are then summarised and analysed. General Challenges are also discussed.
  • Keywords
    data mining; comparative analysis; language dependent; language independent; lexicon; polarity identification; sentiment analysis; Context; Dictionaries; Feature extraction; Object recognition; Semantics; Sentiment analysis; Training; Opinion Mining; Sentiment Analysis; Sentiment Classification; Sentiment Lexicon construction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Technology and Engineering (ICATE), 2013 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4673-5618-3
  • Type

    conf

  • DOI
    10.1109/ICAdTE.2013.6524752
  • Filename
    6524752