Arabic Sexist Comments Detection in Youtube: A Context-Aware Opinion Analysis Approach
In: Proceedings of Fifth International Congress on Information and Communication Technology : ICICT 2020, London, Volume 1, Jg. 1183 (2021), S. 461-469
Online
E-Book
Zugriff:
Titel: |
Arabic Sexist Comments Detection in Youtube: A Context-Aware Opinion Analysis Approach
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Autor/in / Beteiligte Person: | Zahir, Jihad ; Oukaja, Youssef Mehdi ; Ansari, Oumayma El ; Kacprzyk, Janusz, Series Editor ; Pal, Nikhil R., Advisory Editor ; Bello Perez, Rafael, Advisory Editor ; Corchado, Emilio S., Advisory Editor ; Hagras, Hani, Advisory Editor ; Kóczy, László T., Advisory Editor ; Kreinovich, Vladik, Advisory Editor ; Lin, Chin-Teng, Advisory Editor ; Lu, Jie, Advisory Editor ; Melin, Patricia, Advisory Editor ; Nedjah, Nadia, Advisory Editor ; Nguyen, Ngoc Thanh, Advisory Editor ; Wang, Jun, Advisory Editor ; Yang, Xin-She [Ed.] ; Sherratt, R Simon [Ed.] ; Dey, Nilanjan [Ed.] ; Joshi, Amit [Ed.] |
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Zeitschrift: | Proceedings of Fifth International Congress on Information and Communication Technology : ICICT 2020, London, Volume 1, Jg. 1183 (2021), S. 461-469 |
Veröffentlichung: | 2021 |
Medientyp: | E-Book |
ISBN: | 978-981-15-5855-9 (print) ; 978-981-15-5856-6 (print) |
DOI: | 10.1007/978-981-15-5856-6_45 |
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