GAN-Based Anomaly Detection in Social Networks Text Data Using Lasso and Ridge Regression Models

Identifying and classifying anomalies in textual data from social networks is challenging due to the linguistic complexity and diverse user expressions. While deep learning and machine learning techniques offer promise in tackling this problem, their effectiveness is limited by insufficient data. Th...

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Váldodahkkit:	Abolfazl Adressi, َAmirhossein Amiri
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Shahrood University of Technology 2026-04-01
Ráidu:	Journal of Artificial Intelligence and Data Mining
Fáttát:	social networks anomaly classification generative adversarial networks machine learning lasso and ridge regression
Liŋkkat:	https://jad.shahroodut.ac.ir/article_3722_e75c2b76f25872700a5d2f0a91ba98ec.pdf
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GAN-Based Anomaly Detection in Social Networks Text Data Using Lasso and Ridge Regression Models

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