• Ramesh Elisetti
• Dr. A. Chandra Shekar

In today‘s developed world, every minute, people around the globe express themselves via various platforms on the Web. And in every minute, a mass amount of unstructured data is generated. This data is in the form of text which is gathered from forums, social media websites , reviews. Such data is termed as big data. User opinions are related to a wide range of topics like on particular products also. These reviews can be mined using various technologies and are of at most importance to make predictions since they directly convey the viewpoint of the masses. Online reviews also have become an important source of information for users before making an informed purchase decision. Early reviewers ratings and their received helpfulness scores are likely to influence product popularity.The challenge is to gather all the reviews ,also calculate and analyse the ratings ,in order to find a refined product ,that scores high rating.

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"Characterizing and Predicting Early Reviewers for Effective Product Marketing on E Commerce Websites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.528-532, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z74.pdf

"Characterizing and Predicting Early Reviewers for Effective Product Marketing on E Commerce Websites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp528-532, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z74.pdf