A Comparative Analysis of Sentence Embedding Techniques and LSTM Models in Web Page Classification
In: Ubiquitous Networking : 9th International Symposium, UNet 2023, Clermont-Ferrand, France, November 1–3, Jg. 14757 (2024), S. 3-16
Online
E-Book
Zugriff:
Titel: |
A Comparative Analysis of Sentence Embedding Techniques and LSTM Models in Web Page Classification
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Autor/in / Beteiligte Person: | Abdelmounaim, Kerkri ; Madani, Mohamed Amine ; Wiam, Rabhi ; Belaouchi, Lamyae ; Oumayma, El Fahsi ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Habachi, Oussama [Ed.] ; Chalhoub, Gerard [Ed.] ; Elbiaze, Halima [Ed.] ; Sabir, Essaid [Ed.] |
Zeitschrift: | Ubiquitous Networking : 9th International Symposium, UNet 2023, Clermont-Ferrand, France, November 1–3, Jg. 14757 (2024), S. 3-16 |
Veröffentlichung: | 2024 |
Medientyp: | E-Book |
ISBN: | 978-3-031-62487-2 (print) ; 978-3-031-62488-9 (print) |
DOI: | 10.1007/978-3-031-62488-9_1 |
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