• DocumentCode
    3539577
  • Title

    A study on sentiment analysis of social media reviews

  • Author

    Lovelin Ponn Felciah, M. ; Anbuselvi, R.

  • Author_Institution
    Dept. of Comput. Applic., Bishop Heber Coll., Tiruchirappalli, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    With the rapid growth of Web technology, there is a huge volume of data present in the Web for Internet users. It also become the place for online learning and exchange ideas. The information gathering has become more important to find out what other people think about any product, service or organization. This gives an enormous growth and availability of rich-opinion data in various social media such as on-line review site, twitter, face book and personal blogs and so on. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which yields to computational treatment on various opinion and sentiment in text. This survey focus on various techniques and methods for classifying the opinion from social media datasets and its future aspects.
  • Keywords
    Internet; data mining; social networking (online); Facebook; Internet users; Twitter; Web technology; information gathering; online learning; online review site; opinion mining; personal blogs; rich-opinion data; sentiment analysis; social media datasets; social media reviews; Accuracy; Buildings; Data analysis; Pragmatics; Opinion mining; Sentiment Analysis; classification; social media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192949
  • Filename
    7192949