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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 6, ISSUE 4, APRIL 2017

Sentiment Analysis of Online Reviews to Generate a Resourceful Database for Classification/Gradation of Products

Saieesh Koul, Rajat Sharma, Kumar Jeevak Nath Shahdeo, Gaurav Srivastava

DOI: 10.17148/IJARCCE.2017.6483

Abstract: With the massive development of the social media content on the Internet in the bygone few years, folks now rapid their outlook on almost no matter what in discussion. Discovery the outlook sites and observing them on the web is tough task. Therefore there is a necessity for automatic opinion. Sentiment Analysis is the region of study that examines customer comment, opinions , sentiments, evaluations, attitudes, and from written language. It is one of the supreme suitable research areas in Natural Language Processing and is also extensively studied in data mining. The significance of sentiment analysis overlaps with the evolution of social media such as reviews, discussion forums, blogs, and social networks.



Keywords: Sentiment Analysis, Opinion Mining, Text Classification, Data Mining.

How to Cite:

[1] Saieesh Koul, Rajat Sharma, Kumar Jeevak Nath Shahdeo, Gaurav Srivastava, “Sentiment Analysis of Online Reviews to Generate a Resourceful Database for Classification/Gradation of Products,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6483