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

Lamia Hadrich Belguith

ISBN 10: 3031850661 / ISBN 13: 9783031850660

Published by Palgrave Macmillan, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783031850660

Bibliographic Details

• Title: Advancements in Machine Learning and Natural Language Processing: Innovations and Applications : 3rd International Conference on Language Processing and Knowledge Management (LPKM'2024)
• Publisher: Palgrave Macmillan
• Publication Date: 2025
• Language: English
• ISBN 10: 3031850661
• ISBN 13: 9783031850660
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 476 grams

About this title

Synopsis

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.