An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews

Pei Qin Lo, Sew Lai Ng, Li-xian Jiao

Open source

DOI: 10.33093/jiwe.2026.5.1.13
Published: 2
Container: Journal of Informatics and Web Engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.33093/jiwe.2026.5.1.13,
  title = {An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews},
  author = {Pei Qin Lo and Sew Lai Ng and Li-xian Jiao},
  year = {2026},
  journal = {Journal of Informatics and Web Engineering},
  doi = {10.33093/jiwe.2026.5.1.13},
  url = {https://doi.org/10.33093/jiwe.2026.5.1.13}
}

RIS

TY  - JOUR
TI  - An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews
AU  - Pei Qin Lo
AU  - Sew Lai Ng
AU  - Li-xian Jiao
PY  - 2026
JO  - Journal of Informatics and Web Engineering
DO  - 10.33093/jiwe.2026.5.1.13
UR  - https://doi.org/10.33093/jiwe.2026.5.1.13
ER  -

APA

Lo, P. Q., Ng, S. L., & Jiao, L. (2026). An Empirical Evaluation of Machine Learning Methods and Text Classifiers for Sentiment Analysis of Online Consumer Reviews. Journal of Informatics and Web Engineering. https://doi.org/10.33093/jiwe.2026.5.1.13

Source records

doaj · retrieved 2026-09-26T05:21:29.322Z