Semi-supervised learning for sentiment classification with ensemble multi-classifier approach

Supervised sentiment analysis ideally uses a fully labeled data set for modeling. However, this ideal condition requires a struggle in the label annotation process. Semi-supervised learning (SSL) has emerged as a promising method to avoid time-consuming and expensive data labeling without reducing m...

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Bibliographic Details

Main Authors:	Aribowo, Agus Sasmito, Basiron, Halizah, Abd Yusof, Noor Fazilla
Format:	Article
Language:	en
Published:	Universitas Ahmad Dahlan 2022
Online Access:	http://eprints.utem.edu.my/id/eprint/26587/2/AGUS-2022.PDF http://eprints.utem.edu.my/id/eprint/26587/ https://ijain.org/index.php/IJAIN/article/view/929/ijain_v8i3_p349-361
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