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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| Format: | Artigo |
| Sprache: | Inglês |
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Shahrood University of Technology
2026-04-01
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| Schriftenreihe: | Journal of Artificial Intelligence and Data Mining |
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| Online-Zugang: | https://jad.shahroodut.ac.ir/article_3722_e75c2b76f25872700a5d2f0a91ba98ec.pdf |
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