Sentiment Analysis on Large Scale Amazon Product Reviews

Sayyed Johar¹ , Samara Mubeen²

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.1 , pp.7-15, Feb-2020

Online published on Feb 28, 2020

Copyright © Sayyed Johar, Samara Mubeen . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The world nowadays is becoming more digitalized. In this digitalized world e-commerce is taking the ascendancy by making products available within the reach of customers where the customer doesn’t have to go out of their house. As now a day’s people are relying on online products so the importance of a review is going higher. For selectng a product, a customer needs to go through thousands of reviews to understand a product. But in this prospering day of machine learning, going through thousands of reviews would be much easier if a model is used to polarize those reviews and learn from it. So by implementing supervised learning method on a large scale Amazon dataset to polarize it and get satisfactory accuracy.

Key-Words / Index Term :
e-commerce, review of product, machine learning, supervised learning, Amazon dataset

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