Advancements in Machine Learning and Natural Language Processing: Innovations and Applications - 3rd International Conference on Language Processing and Knowledge Management (LPKM'2024)

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.

Inhaltsverzeichnis

Copula-based dependence modeling.- Focus Spatial Data Analysis.- Geographically and Temporally Weighted Regression.

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Lamia Hadrich Belguith (Herausgeber), Lamia Hadrich Belguith (Herausgeber), Shaalan (Herausgeber), Khaled Shaalan (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 17.05.2025
• EAN: 9783031850660
• ISBN: 978-3-0-3185066-0
• Seiten: 302
• Illustration: VII, 302 p. 342 illus., 47 illus. in color.
• Serie: Lecture Notes in Networks and Systems
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; machine learning, Sentiment Analysis, Maschinelles Lernen, Datenbanken, Wissensbasierte Systeme, Expertensysteme, big data analysis, Business Process Modeling, Data Engineering, Computational Intelligence, Natural Language Processing (NLP), Knowledge based Systems, Rule-Based Systems, opinion mining, deep learning models, feature selection, Arabic Language Processing, Fake News Detection, Cyberbullying Detection, Ontology-driven Methods, Named Entity Recognition, LPKM 2024, Biomedical Domain Adaptation