A machine learning approach for opinion mining online customer reviews

被引：5

作者：

Thai Kim Phung ^{[1
]}

Nguyen An Te ^{[1
]}

Tran Thi Thu Ha ^{[2
]}

机构：

[1] Univ Econ Ho Chi Minh City, Ho Chi Minh City, Vietnam

[2] Natl Econ Univ, Hanoi, Vietnam

来源：

2021 21ST ACIS INTERNATIONAL WINTER CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD-WINTER 2021) | 2021年

关键词：

Opinion mining; opinion classification; opinion classification using machine learning;

D O I：

10.1109/SNPDWinter52325.2021.00059

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study was conducted to apply supervised machine learning methods in opinion mining online customer reviews. First, the study automatically collected 39,976 traveler reviews on hotels in Vietnam on Agoda.com website, then conducted the training with machine learning models to find out which model is most compatible with the training dataset and apply this model to forecast opinions for the collected dataset. The results showed that Logistic Regression (LR), Support Vector Machines (SVM) and Neural Network (NN) methods have the best performance in opinion mining in Vietnamese language. This study is valuable as a reference for applications of opinion mining in the field of business.

引用

页码：243 / 246

页数：4

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