• DocumentCode
    3659813
  • Title

    Sentiment Analysis of Malayalam film review using machine learning techniques

  • Author

    Deepu S. Nair;Jisha P. Jayan; Rajeev R.R;Elizabeth Sherly

  • Author_Institution
    Virtual Resource Center for Language Computing, Indian Institute of Information Technology and Management- Kerala, India
  • fYear
    2015
  • Firstpage
    2381
  • Lastpage
    2384
  • Abstract
    The unprecedented growth of data in web, social media and the attempt to make the cognitive process using computers make Sentiment Analysis a challenging and interesting research problem. Sentiment Analysis mainly deals with the process of analyzing the sentiments or feelings from someone´s expression or piece of information, and also in discovering the cognitive behavior of humans. The usage of computers to get feedback, opinion or remarks about a product, entertainment or political view of the public is very common. This paper demonstrates how Sentiment Analysis can be used in reviewing Malayalam films by using machine learning techniques. It is a hybrid approach comprising of machine learning techniques and rule based approach. This work would help the users to analyze the film criticism and also to assign the rank and popularity of new arrival films. In this work, the system checks the polarity at the sentence level, resulted in an accuracy of 91%.
  • Keywords
    "Sentiment analysis","Support vector machines","Context","Accuracy","Semantics","Training","Motion pictures"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
  • Print_ISBN
    978-1-4799-8790-0
  • Type

    conf

  • DOI
    10.1109/ICACCI.2015.7275974
  • Filename
    7275974