Automated Sentiment Analysis System Using Machine Learning Algorithms

Abstract

Sentiment analysis can be very useful for business if employed correctly. In this article, I will attempt to demystify the process, provide context, and offer some concrete examples of how businesses can utilize it. In this paper we present a system which collects Tweets from social networking sites, we’ll be able to do analysis using machine learning techniques on those Tweets and thus provide some prediction of business intelligence. Results of trend analysis will be display as tweets with different sections presenting positive, Negative and neutral.

Authors and Affiliations

I. Hemalatha, Dr. G. P. S. Varma, Dr. A. Govardhan

Keywords

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  • EP ID EP27849
  • DOI -
  • Views 240
  • Downloads 0

How To Cite

I. Hemalatha, Dr. G. P. S. Varma, Dr. A. Govardhan (2014). Automated Sentiment Analysis System Using Machine Learning Algorithms. International Journal of Research in Computer and Communication Technology, 3(3), -. https://europub.co.uk./articles/-A-27849