SENTIMENTS ANALYSIS

Authors

  • avaturi Venkata Sai Krishna Bhargav Computer Science And Engineering , S .A .Engineering College
  • N.Sudharrshan Computer Science And Engineering , S .A .Engineering College
  • Velivelli Teja Computer Science And Engineering , S .A .Engineering College
  • Mr.Karthik Elangovan Computer Science And Engineering , S .A .Engineering College

Keywords:

Natural language Processing(NLP) , Naïve Bayes Theorem , Supervised Learning, polarity, precision

Abstract

Internet is the most valuable source of learning, getting ideas, reviews for a product or a service. Everyday
millions of reviews are generated in the internet about a product, person or a place. Because of their huge number and
size it is very difficult to handle and understand such reviews. Sentiment analysis is such a research area which
understands and extracts the opinion from the given review and the analysis process includes natural language
processing (NLP), computational linguistics, text analytics and classifying the polarity of the opinion. In the field of
sentiment analysis there are many algorithms exist to tackle NLP problems. Each algorithm is used by several
applications. In this paper we have shown the taxonomy of various sentiment analysis methods. This paper shows Naïve
bayes methods.

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Published

2018-01-25

How to Cite

avaturi Venkata Sai Krishna Bhargav, N.Sudharrshan, Velivelli Teja, & Mr.Karthik Elangovan. (2018). SENTIMENTS ANALYSIS. International Journal of Advance Engineering and Research Development (IJAERD), 5(1), 914–917. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2209

Issue

Vol. 5 No. 1 (2018): Volume 5 Issue 1 January 2018

Section

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