Classification of Sentiment Analysis on Reviews using Machine Learning Techniques

Authors

  • Nilesh Thakkar Computer Engineering, Swaminarayan College of Engineering & Technology, Kalol-382721, Gujarat

Keywords:

Opinion Mining, Sentiment Analysis, Natural Language Processing, Naïve Bayes, Multinomial Naïve Bayes, Movie Review

Abstract

Now a days citizens can raise their opinions publicly and this opportunity has been provided due to the
opened doors of internet which uses social media as platform for information exchange. Social media has huge amount
of data related to people’s opinion which includes reviews about products, movies, and blogs. With the use of Natural
Language Processing we can perform sentiment analysis in data mining. Natural Language processing is also helpful in
many more tasks related to information processing. In today’s era everybody loves to post their views on social media
about products, movies, and blogs in terms of opinions and reviews. People’s opinion about any product is precious and
it is very important for an organization to process it before making any decision. All fortune companies are focusing
precisely on opinion mining considering the growth of social media. Using the techniques of sentiment analysis we can
process the reviews and after completion of that process we can extract information. Analysis and categorization of the
reviews can be done afterwards so that we can have mainly two categories which are positive and negative.

Published

2018-02-25

How to Cite

Nilesh Thakkar. (2018). Classification of Sentiment Analysis on Reviews using Machine Learning Techniques. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 508–511. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2381