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International Journal of Research and Scientific Innovation (IJRSI)

Using Sentiment Analysis and Knowledge Discovery System as a Tool to Enhance a Real-Time Product Evaluation System

byMgbeafulike Ike J.; Prof. Okeke, Ogochukwu C.; Okonkwo Kingsley Chizoba

Published April 3, 2026  •  Vol. 13, Issue 3, pp. 1128–1134Open Access
DOI: 10.51244/IJRSI.2026.1303000104

Abstract

The explosion of user-generated content on platforms such as social media and review sites has created a wealth of data that businesses can leverage to understand consumer sentiment. This paper explores the integration of sentiment analysis and knowledge discovery systems to enhance real-time product evaluation. By utilizing advanced machine learning techniques, particularly Naïve Bayes and Recurrent Neural Networks (RNNs), the proposed system aims to provide deeper insights into customer feedback and improve decision-making processes in businesses. The findings suggest that the hybrid model significantly enhances accuracy and responsiveness in product evaluations, ultimately leading to better customer satisfaction and competitive advantage.

Keywords: Sentiment Analysis, Real-Time, Machine Learning

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 3
Pages1128–1134
Publication dateApril 3, 2026
DOI10.51244/IJRSI.2026.1303000104
PublisherRSIS International
LicenseOpen Access

How to cite this article

Mgbeafulike Ike J., Prof. Okeke, Ogochukwu C., & Okonkwo Kingsley Chizoba (2026). Using Sentiment Analysis and Knowledge Discovery System as a Tool to Enhance a Real-Time Product Evaluation System. International Journal of Research and Scientific Innovation (IJRSI), 13(3), 1128-1134. https://doi.org/10.51244/IJRSI.2026.1303000104

BibTeX

@article{Mgbeafulike2026,
  title   = {Using Sentiment Analysis and Knowledge Discovery System as a Tool to Enhance a Real-Time Product Evaluation System},
  author  = {Mgbeafulike Ike J. and Prof. Okeke, Ogochukwu C. and Okonkwo Kingsley Chizoba},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {3},
  pages   = {1128--1134},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1303000104},
  publisher = {RSIS International}
}