Open AccessMachine Learning Centric Product Endorsement on Flipkart Database
Author(s) -
M. Sri Lakshmi,
Divya Kumar,
M. Janardhan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8632.088619
Subject(s) - viewpoints , sentiment analysis , product (mathematics) , computer science , feeling , real estate , key (lock) , context (archaeology) , estate , data science , business , artificial intelligence , psychology , computer security , finance , art , social psychology , paleontology , geometry , mathematics , visual arts , biology
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.