Blessy Thankachan

Work place: Jaipur National University, Jaipur, Rajasthan, India



Research Interests: Software Organization and Properties, Software Engineering


Dr. Blessy Thankachan, received her Ph.D. in the field of Software engineering, University of Rajasthan, Jaipur, India. Currently she is Assistant Director in Jaipur National University, India. Her areas of specialization include Software engineering and optimization. She has published many research articles in International and National Journals and Conferences.

Author Articles
Sentiment Analysis of Amazon Product Reviews Using Hybrid Rule-based Approach

By Anjali Dadhich Blessy Thankachan

DOI:, Pub. Date: 8 Apr. 2021

In recent years, the retail market industry has taken a broad form to sell the products online and also to give the opportunity to customers to provide their valuable feedbacks, suggestions and recommendations. The opinion summarization and classification systems extract and identify a range of opinions about different online available products in a large text-based review set. This paper addresses and reviews the concepts of automatic identification of the sentiments expressed in the English text for Amazon and Flipkart products using Random Forest and K-Nearest Neighbor techniques. It presents a detailed comparative study of such existing sentiment analysis algorithms and methodologies on the basis of five key parameters. It results in evaluating their performance in terms of parameter usage and contributions. The paper also discusses their experimental results and challenges found. Therefore, this study shows the maximum usage of feature extraction, positive-negative sentiment, Amazon web source, mobile phone for a large set of reviews in the existing algorithms.

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