International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 6, June 2013 Edition [ISSN 2250-3153]

Machine Learning Algorithms for Opinion Mining and Sentiment Classification
      Jayashri Khairnar, Mayura Kinikar
Abstract: With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user’s opinions, views, feedback and suggestions available through the web resources, it’s very much essential to explore, analyse and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user’s views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text. Various supervised or data-driven techniques to Sentiment analysis like Naïve Byes, Maximum Entropy and SVM.For classification use support vector machine (SVM), it performs the sentiment classification task also consider sentiment classification accuracy.

Reference this Research Paper (copy & paste below code):

Jayashri Khairnar, Mayura Kinikar (2018); Machine Learning Algorithms for Opinion Mining and Sentiment Classification; Int J Sci Res Publ 3(6) (ISSN: 2250-3153).
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