Sentiment Analysis Techniques: A Comparative Study of Logistic Regression, Random Forest, and Naive Bayes on General English and Nigerian Texts

Victor Mfon Abia, E. Henry Johnson

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DOI: 10.9734/jerr/2024/v26i91268
Published: 2024-09-03
Container: Journal of Engineering Research and Reports
Publisher: Sciencedomain International
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.9734/jerr/2024/v26i91268,
  title = {Sentiment Analysis Techniques: A Comparative Study of Logistic Regression, Random Forest, and Naive Bayes on General English and  Nigerian Texts},
  author = {Victor Mfon Abia and E. Henry Johnson},
  year = {2024},
  journal = {Journal of Engineering Research and Reports},
  doi = {10.9734/jerr/2024/v26i91268},
  url = {https://doi.org/10.9734/jerr/2024/v26i91268}
}

RIS

TY  - JOUR
TI  - Sentiment Analysis Techniques: A Comparative Study of Logistic Regression, Random Forest, and Naive Bayes on General English and  Nigerian Texts
AU  - Victor Mfon Abia
AU  - E. Henry Johnson
PY  - 2024
JO  - Journal of Engineering Research and Reports
DO  - 10.9734/jerr/2024/v26i91268
UR  - https://doi.org/10.9734/jerr/2024/v26i91268
ER  -

APA

Abia, V. M., & Johnson, E. H. (2024). Sentiment Analysis Techniques: A Comparative Study of Logistic Regression, Random Forest, and Naive Bayes on General English and Nigerian Texts. Journal of Engineering Research and Reports. https://doi.org/10.9734/jerr/2024/v26i91268

Source records

crossref · retrieved 2026-11-09T20:38:08.535Z