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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) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advancements in machine learning and natural language processing: innovations and applicationsedited by Lamia Hadrich Belguith, Khaled Shaalan.
其他題名:	3rd International Conference on Language Processing and Knowledge Management (LPKM'2024) /
其他題名:	LPKM'2024
其他作者:	Belguith, Lamia Hadrich.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	vii, 302 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	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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