Machine Learning Centric Product Endorsement on Flipkart Database
M.Sri Lakshmi1, S Prem Kumar2, M.Janardhan3

1M.Sri Lakshmi *, Assistant Professor, Department of CSE, G.Pullaiah College of Engineering and Technology, Kurnool.
2Dr.S Prem Kumar, Professor & Dean , Department of CSE, G.Pullaiah College of Engineering and Technology, Kurnool.
3M.Janardhan, Associate Professor, Department of CSE, G.Pullaiah College of Engineering and Technology, Kurnool.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2750-2753 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8632088619/2019©BEIESP | DOI: 10.35940/ijeat.F8632.088619
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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 growing need for individual mining information from text leads to analyzing sentiment and viewpoints. Retailers, E-commerce companies, product companies, media houses, real estate firms, and whom all have recognized that sentiment analysis is the key to success. They perform sentiment analysis necessary to get customer information related to feelings; attitudes, reactions, and opinions of existing and potential buyers towards their product or services. In this context, evaluating an individual’s viewpoint or humor from a piece of text is challenging. In recent years the need for this analysis has increased due to the benefits obtained from it. In this paper, we conduct sentiment analysis on Flipkart product reviews using machine learning techniques to address the above challenge.
Keywords: Sentiment analysis, Machine Learning, Flipkart, Product Analysis.