A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5

A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5

Abstract In recent years, research on opinion mining from X (formerly Twitter) has rapidly advanced, focusing on processing tweets to determine user sentiments about events. Many researchers prefer using machine and deep learning techniques for this analysis. This work proposes a novel approach inte...

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Bibliographic Details
Main Authors: Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Journal of Big Data
Subjects:
Fuzzy version of C4.5 procedure
Convolutional neural network
Fuzzy rule pattern
Hadoop framework
X opinion mining
Sentiment analysis
Online Access:https://doi.org/10.1186/s40537-024-01014-4
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https://doi.org/10.1186/s40537-024-01014-4

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