Published September 30, 2024 | Version CC-BY-NC-ND 4.0
Journal article Open

Classification of Vietnamese Reviews on E-Commerce Platforms

Creators

  • 1. Lecturer, Faculty of Information Technology at Posts and Telecommunications Institute of Technology (PTIT), Ha Noi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam.

Contributors

Contact person:

  • 1. Lecturer, Faculty of Information Technology at Posts and Telecommunications Institute of Technology (PTIT), Ha Noi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam.
  • 2. Lecturer, Faculty of Information Technology at Posts and Telecommunications Institute of Technology (PTIT) in Ha Noi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam.

Description

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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Additional details

Identifiers

DOI
10.35940/ijitee.J9963.13100924
EISSN
2278-3075

Dates

Accepted
2024-09-15
Manuscript received on 01 August 2024 | Revised Manuscript received on 07 August 2024 | Manuscript Accepted on 15 September 2024 | Manuscript published on 30 September 2024.

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