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July 19, 2025

Optimizing Customer Decision-Making with Enhanced Product Evaluation Using Aspect-Based Sentiment Analysis and Naïve Bayes Algorithm

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Authors

RORenjun OrainMCMark Anthony CezarMMMerlin Marfa

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Overview

The system improves product evaluation by leveraging aspect-based sentiment analysis and machine learning, enhancing customer insights.

Key Points

  • The product evaluator system delivers 90% accuracy in sentiment classification, improving decision-making quality.
  • Analysis of customer reviews employs aspect-based sentiment analysis, offering finer insights over traditional methods.
  • Natural language processing techniques are used to process reviews from major e-commerce platforms effectively.
  • User testing yielded a high usability rating of 4.24, indicating strong agreement on its functionality and supportability.

Cite This Study

Orain et al. (2025) studied this question.

synapsesocial.com/papers/68af55ccad7bf08b1eadbfeahttps://doi.org/10.69478/best2025v1n2a023
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