Adaptive sentiment analysis using multioutput classification: a performance comparison

The primary objective of this research is to create a multi-output classification model for sentiment analysis through the combination of 10 algorithms: BernoulliNB, Decision Tree, K-nearest neighbor, Logistic Regression, LinearSVC, Bagging, Stacking, Random Forest, AdaBoost, and ExtraTrees. In doin...

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Detalles Bibliográficos
Autores principales: Hariguna, Taqwa, Ruangkanjanases, Athapol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280487/
https://www.ncbi.nlm.nih.gov/pubmed/37346589
http://dx.doi.org/10.7717/peerj-cs.1378

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280487/
https://www.ncbi.nlm.nih.gov/pubmed/37346589
http://dx.doi.org/10.7717/peerj-cs.1378

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