Adaptive sentiment analysis using multioutput classification: a performance comparison

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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Bibliographic Details
Main Authors: Taqwa Hariguna, Athapol Ruangkanjanases
Format: Article
Language:English
Published: PeerJ Inc. 2023-05-01
Series:PeerJ Computer Science
Subjects:
BernoulliNB
Decision Tree
K-nearest neighbor
Logistic Regression
LinearSVC
Bagging and Stacking
Online Access:https://peerj.com/articles/cs-1378.pdf

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https://peerj.com/articles/cs-1378.pdf

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