Classification of Vietnamese Reviews on E-Commerce Platforms

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Dr. Phan Thi Ha
Trinh Thi Van Anh

Abstract

The research team used machine learning models to classify Vietnamese reviews on products on the e-commerce platform as positive or negative. To classify and evaluate the effectiveness of Support Vector Machine (SVM), Random Forest, Logistic Regression machine learning models on different platforms, the authors have built their own training and test data sets as well as a set of stopwords to classify Vietnamese web reviews [9]. This can then be applied to building a webapp that allows entering a link of any online products and then categorizing its user reviews, helping sellers evaluate their products/services, understand consumer behavior and make changes, improvements to the products accordingly.

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[1]
Dr. Phan Thi Ha and Trinh Thi Van Anh , Trans., “Classification of Vietnamese Reviews on E-Commerce Platforms”, IJITEE, vol. 13, no. 10, pp. 7–11, Sep. 2024, doi: 10.35940/ijitee.J9963.13100924.
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How to Cite

[1]
Dr. Phan Thi Ha and Trinh Thi Van Anh , Trans., “Classification of Vietnamese Reviews on E-Commerce Platforms”, IJITEE, vol. 13, no. 10, pp. 7–11, Sep. 2024, doi: 10.35940/ijitee.J9963.13100924.
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