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E-commerceE-commerce is integral today, shaped by technology. Reviews on platforms like Myntra and Flipkart are vital, which are classified as positive or negative. Technology-driven online commerce exceeds traditional retail, using sentiment analysisSentiment analysis with advanced models for client feedback. Sentiment analysisSentiment analysis through NLPNatural Language Processing (NLP) proves valuable in classifying customer feedback as positive or negative. To improve classification efficiency SVMSupport Vector Machine (SVM), Naive BayesianNaive Bayesian, and Decision TreeDecision Tree (DT) are frequently utilized. Improvement of the analysis of sentiment can be done in various ways for example, by using a technique that considers word semantics at the sentence level as well as within the specific product domain. The discussed methods enable the designer to quickly determine the crucial design standards for future product development by evaluating user-generated information. This paper discusses several methods and approaches for sentiment analysisSentiment analysis in great detail.

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Sentimental Analysis Using Machine-Learning Models–A Comparative Study

  • 会议论文

  • 发表日期：

    2025年

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  • Veda Spandana Tungala,
  • Aarthi Hasitha Yepuri,
  • Sai Sindhuja Anaparthi,
  • Aasritha Sai Vemulapalli,
  • S. R. Reeja

摘要

E-commerceE-commerce is integral today, shaped by technology. Reviews on platforms like Myntra and Flipkart are vital, which are classified as positive or negative. Technology-driven online commerce exceeds traditional retail, using sentiment analysisSentiment analysis with advanced models for client feedback. Sentiment analysisSentiment analysis through NLPNatural Language Processing (NLP) proves valuable in classifying customer feedback as positive or negative. To improve classification efficiency SVMSupport Vector Machine (SVM), Naive BayesianNaive Bayesian, and Decision TreeDecision Tree (DT) are frequently utilized. Improvement of the analysis of sentiment can be done in various ways for example, by using a technique that considers word semantics at the sentence level as well as within the specific product domain. The discussed methods enable the designer to quickly determine the crucial design standards for future product development by evaluating user-generated information. This paper discusses several methods and approaches for sentiment analysisSentiment analysis in great detail.