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Advancements in machine learning and natural language processing: innovations and applications3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advancements in machine learning and natural language processing: innovations and applicationsedited by Lamia Hadrich Belguith, Khaled Shaalan.
Reminder of title:	3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /
remainder title:	LPKM'2024
other author:	Belguith, Lamia Hadrich.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	vii, 302 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-85067-7
ISBN:	9783031850677$q(electronic bk.)

Advancements in machine learning and natural language processing: innovations and applications3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /
Advancements in machine learning and natural language processing: innovations and applications3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /[electronic resource] :LPKM'2024edited by Lamia Hadrich Belguith, Khaled Shaalan. - Cham :Springer Nature Switzerland :2025. - vii, 302 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,13032367-3389 ;. - Lecture notes in networks and systems ;v.1..

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

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.

ISBN: 9783031850677$q(electronic bk.)

Standard No.: 10.1007/978-3-031-85067-7doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advancements in machine learning and natural language processing: innovations and applications3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /
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