Online Product Evaluation System Based on Ratings and Review

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 evaluation...

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Main Authors: Thugu Rajesh Kumar, Reddy, Chitra, ., Jeyarani, Periasamy
Format: Article
Language:English
Published: INTI International University 2024
Subjects:
Online Access:http://eprints.intimal.edu.my/1922/
http://eprints.intimal.edu.my/1922/1/jods2024_07.pdf
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author Thugu Rajesh Kumar, Reddy
Chitra, .
Jeyarani, Periasamy
author_facet Thugu Rajesh Kumar, Reddy
Chitra, .
Jeyarani, Periasamy
author_sort Thugu Rajesh Kumar, Reddy
building INTI Institutional Repository
collection Online Access
description 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.
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spelling intimal-19222024-06-04T07:14:20Z http://eprints.intimal.edu.my/1922/ Online Product Evaluation System Based on Ratings and Review Thugu Rajesh Kumar, Reddy Chitra, . Jeyarani, Periasamy Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software 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. INTI International University 2024-05-29 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1922/1/jods2024_07.pdf 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 http://ipublishing.intimal.edu.my/jods.html
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Thugu Rajesh Kumar, Reddy
Chitra, .
Jeyarani, Periasamy
Online Product Evaluation System Based on Ratings and Review
title Online Product Evaluation System Based on Ratings and Review
title_full Online Product Evaluation System Based on Ratings and Review
title_fullStr Online Product Evaluation System Based on Ratings and Review
title_full_unstemmed Online Product Evaluation System Based on Ratings and Review
title_short Online Product Evaluation System Based on Ratings and Review
title_sort online product evaluation system based on ratings and review
topic Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
url http://eprints.intimal.edu.my/1922/
http://eprints.intimal.edu.my/1922/
http://eprints.intimal.edu.my/1922/1/jods2024_07.pdf