IJERT-EMS
IJERT-EMS

Opinion Mining using Naive Bayes Classifier


Opinion Mining using Naive Bayes Classifier
Authors : Vrinda, Dr. Komal Kumar Bhatia
Publication Date: 31-03-2017

Authors

Author(s):  Vrinda, Dr. Komal Kumar Bhatia

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 04 , April - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS040031

Abstract

Opinion mining and Sentiment analysis have become a vital part in today’s era. Both industries and consumers switch to online resources for feedback on products and amenities. Post enormous development of web technology, reviews existing on web are in surplus quantity. Thus, making decision problem harder. It would be more beneficiary to an individual or organization if these opinions serve precise sentiment of the whole review/document. This paper implements naïve Bayes algorithm to classify the sentence in positive, negative and neutral precisely. So, we implemented the proposed technique and we evaluated its performance, and suggested directions of improvement.

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