A New Feature based Scoring Technique to Discover Sentiments Present in the Online Product
R.Bhuvaneswari1, S.Ravichandran2

1Mrs. Bhuvaneswari.R Asst Professor of Computer Science, Sudharson College of arts and science Pudukkottai, Tamil Nadu.
2Dr. S. Ravichandran, HOD and Assit.Prof, Computer Science Department , H.H.The Rajah’s College, Pudukkottai, Tamil Nadu.

Manuscript received on September 18, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3750-3754 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26751081219/2019©BEIESP | DOI: 10.35940/ijitee.L2675.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The increasing usage of internet, online stores and social media has provided the users to express their opinion, attitude and views without any reluctance and fear on the World Wide Web. These opinions expressed by the users can be related to a product or service as well as any global issues. The colossal growth of the web technology has offered the consumers to know more about the products they intend to buy from the existing customer’s reviews. This paper focuses on analyzing the opinion by splitting the positive and negative opinion and then guides the user about the ground truth regarding the performance and quality of the product. The important idea here is to categorize the important features of the product and then accordingly provide the feature wise computation instead of roughly promoting a product as good or bad.
Keywords: Sentiment Analysis, Opinion Mining, Data Mining, Knowledge Discovery.
Scope of the Article: Data Mining