• DocumentCode
    2511074
  • Title

    Fuzzy logic based hybrid approach for sentiment analysisl of Malayalam movie reviews

  • Author

    Anagha, M. ; Kumar, Raveena R. ; Sreetha, K. ; Reghu Raj, P.C.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Gov. Eng. Coll., Sreekrishnapuram, India
  • fYear
    2015
  • fDate
    19-21 Feb. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, Sentence level Sentiment Analysis of Malayalam movie reviews is done by classifying the polarity of opinions obtained from the user as positive, negative and neutral. Sentiment analysis is an application of Natural Language Processing and text analysis which helps to identify the emotions in a given context. In this work a hybrid approach for Sentiment Analysis is used in which Machine Learning method is used for tagging and Fuzzy Logic is used to find the membership of the review in each sentiment class. Fuzzy logic can be used to handle the vagueness in natural language. Manually tagged data are trained using TnT and Fuzzy rules are incorporated for identifying and classifying the emotions. Certain other rules are also incorporated to handle certain special cases. The fuzzy rules yield output that varies in degree between 0 and 1.
  • Keywords
    entertainment; fuzzy logic; fuzzy reasoning; learning (artificial intelligence); natural language processing; pattern classification; text analysis; Malayalam movie review; TnT; emotion classification; emotion identification; fuzzy logic; fuzzy logic based hybrid approach; fuzzy rules; machine learning method; natural language processing; sentiment analysis; text analysis; Feature extraction; Fuzzy logic; Mood; Motion pictures; Sentiment analysis; Tagging; Training; Fuzzy logic; Sentiment Analysis; TnT tagger;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
  • Conference_Location
    Kozhikode
  • Type

    conf

  • DOI
    10.1109/SPICES.2015.7091512
  • Filename
    7091512