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Record Nr. |
UNINA9910992774503321 |
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Titolo |
Advancements in Machine Learning and Natural Language Processing: Innovations and Applications : 3rd International Conference on Language Processing and Knowledge Management (LPKM’2024) / / edited by Lamia Hadrich Belguith, Khaled Shaalan |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (VII, 302 p. 342 illus., 47 illus. in color.) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1303 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Expert systems (Computer science) |
Engineering - Data processing |
Computational Intelligence |
Machine Learning |
Knowledge Based Systems |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Copula-based dependence modeling -- Focus Spatial Data Analysis -- Geographically and Temporally Weighted Regression. |
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Sommario/riassunto |
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This book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and transfer learning to tackle sentiment analysis, fake news detection, and multi-dialectal named entity recognition, with a special focus on Arabic language technologies. Bridging the gap between research and practice, it highlights topics such as knowledge extraction, AI ethics, and the societal impacts of big data. Targeted at researchers, educators, and professionals, it serves as a vital guide for beginners and a comprehensive reference for experts seeking to stay ahead in the rapidly evolving field of AI. |
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