Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework

Author:

Yu Yang1ORCID,Dinh Duy-Tai2ORCID,Nguyen Ba-Hung3ORCID,Yu Fangyu1ORCID,Huynh Van-Nam1ORCID

Affiliation:

1. School of Knowledge Science, Japan Advanced Institute of Science and Technology (JAIST), Nomi, Japan

2. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

3. Faculty of Economics and Management, Thai Binh Duong University, Nha Trang, Khanh Hoa, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. COVID-19 Pandemisinin Türkiye Mobil Oyun Pazarına Etkisi: Bir Metin Madenciliği Uygulaması;Journal of Turkish Operations Management;2024-07-18

2. A Preliminary Analysis of E-sports Game Reviews;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23

3. A Proposal of Sentiment Analysis Approach for Comments Based on Semi-supervised Learning and Topic Analysis;2024 12th International Conference on Information and Education Technology (ICIET);2024-03-18

4. A Comparative Analysis Between Deep Learning and Machine Learning Algorithms Based on User Review Sentiment Analysis from Various OTT Applications;2024 International Conference on Computer, Electrical & Communication Engineering (ICCECE);2024-02-02

5. Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm;Model and Data Engineering;2023-12-22

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