Online Product Evaluation System Based on Ratings and Review

Thugu Rajesh Kumar, Reddy and Chitra, . and Jeyarani, Periasamy (2024) Online Product Evaluation System Based on Ratings and Review. Journal of Data Science, 2024 (07). pp. 1-6. ISSN 2805-5160

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Abstract

The decision-making process for product design and improvement is hindered by traditional user research methods due to the rapid updating pace, limited survey scopes, small sample sizes, and labor-intensive procedures. This study suggests a novel method for gathering valuable online evaluations from e-commerce platforms, develops a system for measuring the effectiveness of a product and suggests ways to improve a product using sentiment analysis and opinion mining of online reviews. The method's efficacy is supported by a sizable body of user reviews for smartphones, from which we can reliably estimate the product's unfavorable review rate with only a 9.9% error using the assessment indication system. After considering the entire method in the case study, improvement strategies are suggested. The strategy is applicable for product evaluation.

Item Type:	Article
Uncontrolled Keywords:	Sentiment Analysis, Feature Extraction, E-Commerce
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	04 Jun 2024 07:14
Last Modified:	04 Jun 2024 07:14
URI:	http://eprints.intimal.edu.my/id/eprint/1922

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