A machine learning approach for opinion mining online customer reviews

被引:3
|
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
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
下载
收藏
页码:243 / 246
页数:4
相关论文
共 50 条
  • [31] Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews
    Joung, Junegak
    Kim, Harrison
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2023, 70
  • [32] Utilizing Support Vector Machines in Mining Online Customer Reviews
    Soliman, Taysir Hassan A.
    Elmasry, Mostafa A.
    Hedar, Abdel Rahman
    Doss, M. M.
    2012 22ND INTERNATIONAL CONFERENCE ON COMPUTER THEORY AND APPLICATIONS (ICCTA), 2012, : 192 - 196
  • [33] A Machine Learning Based Approach for Opinion Mining on Social Network Data
    Arif, Fayeza
    Dulhare, Uma N.
    COMPUTER COMMUNICATION, NETWORKING AND INTERNET SECURITY, 2017, 5 : 135 - 147
  • [34] A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining
    Alfrjani, Rowida
    Osman, Taha
    Cosma, Georgina
    DATA & KNOWLEDGE ENGINEERING, 2019, 121 : 88 - 108
  • [35] Opinion Mining from Online Reviews in Bali Tourist Area
    Prameswari, Puteri
    Surjandari, Isti
    Laoh, Enrico
    2017 3RD INTERNATIONAL CONFERENCE ON SCIENCE IN INFORMATION TECHNOLOGY (ICSITECH), 2017, : 226 - 230
  • [36] Study on the Method of Identifying Opinion Leaders Based on Online Customer Reviews
    Ma Yu-tao
    Cai Shu-qin
    Wang Rui
    2011 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING - 18TH ANNUAL CONFERENCE PROCEEDINGS, VOLS I AND II, 2011, : 10 - 17
  • [37] A Fuzzy Domain Sentiment Ontology based Opinion Mining Approach for Chinese Online Product Reviews
    Wang, Hanshi
    Nie, Xinhui
    Liu, Lizhen
    Lu, Jingli
    JOURNAL OF COMPUTERS, 2013, 8 (09) : 2225 - 2231
  • [38] A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese
    Peng, Yi
    Kou, Gang
    Li, Jun
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (06) : 5245 - 5252
  • [39] A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese
    Yi Peng
    Gang Kou
    Jun Li
    Arabian Journal for Science and Engineering, 2014, 39 : 5245 - 5252
  • [40] E-Commerce Reviews Management System Based on Online Customer Reviews Mining
    Deng Bin
    Shao Peiji
    Zhao Dan
    2010 INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATION AND 2010 ASIA-PACIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND OCEAN ENGINEERING: CICC-ITOE 2010, PROCEEDINGS, 2010, : 374 - 377