International Journal of Scientific and Research Publications

IJSRP, Volume 7, Issue 11, November 2017 Edition [ISSN 2250-3153]

Sentiment Analysis Algorithm
Abstract: Sentimental Analysis Algorithm refers to the usage of statistics, natural language processing, and text to identify and extract the text sentiment into categories that can be termed as positive, negative, or neutral. Sentimental analysis is, therefore, the computational treatment of emotions, subjectivity of text and opinion. The present paper provides a comprehensive review of the proposed enhancement of algorithms and some sentimental analysis applications. Some of the areas investigated and presented in the article include emotion detection, transfer learning, and resource building. Sentimental analysis provides an opportunity to arrive at a decision that is binary; you are either for or against the decision. An example of such a binary question can be used on Twitter or political polls, e.g., “Do you support the use of nuclear warheads?” with the option of either answering Yes or No.

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

RUTUL BAKULKUMAR PANDYA (2017); Sentiment Analysis Algorithm; Int J Sci Res Publ 7(11) (ISSN: 2250-3153).
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