Anjali Dadhich

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



Research Interests: Data Mining


Anjali Dadhich received her master’s degree in Computer Science from Banasthali Vidhyapeeth, Jaipur, India in 2014 and bachelor’s degree from Mewar Girls College, Rajasthan, India in 2011.She is doing Ph.D. from JNU, Jaipur, and Rajasthan in the department of computer science. she published 10 papers in various international journals attended many conferences. She has very much interest to do research on Data mining and NLP.

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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