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Sentiment Analysis of Amazon Customer Product Reviews: A Review

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-4 Issue-1
	Year of Publication : 2021
	Unique Identification Number : IJSRED-V4I1P55
	Authors : Tayybaha Quyyam, Dr. Hamid Ghous
	: Click Here | DOI : https://doi.org/10.5281/zenodo.4505616

Abstract :

Internet is an easy way to for the customer to exchange information about the product over the shopping websites. It is important for the Shopping websites to understand the sentiment of the customer’s reviews. Sentiment Analysis is a type of natural language processing that can be used to understand the sentiments of customer reviews from the online platform such as Amazon. Sentiment analysis is also used for the client reviews which contain the type of texts, words, expressions, and star rating techniques. Sentiment analysis of the customer reviews can increase the sale of products. A variety of research has already been conducted related to the sentiment analysis using machine learning and deep learning methods. In this paper, we have analysed the literature related to sentiment analysis of customers’ reviews on Amazon based on Machine learning and Deep learning methods. We have also discussed the limitations of related literature and suggested new directions for future researchers.