Advancements in Machine Learning and Natural Language Processing: Innovations and Applications

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.

Presents recent research on Machine Learning and Natural Language Processing Proceedings of 3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) Written by experts in the field

Inhalt

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