Online Product Evaluation System Based on Ratings and Review

• Main Authors: Thugu Rajesh Kumar, Reddy, Chitra, ., Jeyarani, Periasamy
• Format: Article
• Language: English
• Published: INTI International University 2024
• Subjects: Q Science (General); QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.intimal.edu.my/1922/1/jods2024_07.pdf; http://eprints.intimal.edu.my/1922/; http://ipublishing.intimal.edu.my/jods.html

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.