Using natural language processing and machine learning to detect online grooming attacks

Street, J ORCID logoORCID: https://orcid.org/0000-0002-9305-8468 and Olajide, F, 2024. Using natural language processing and machine learning to detect online grooming attacks. In: Panoutsos, G, Mahfouf, M and Mihaylova, LS, eds., Advances in computational intelligence systems: contributions presented at the 21st UK Workshop on Computational Intelligence, September 7-9, 2022, Sheffield, UK. Advances in intelligent systems and computing (1454). Cham: Springer, pp. 261-270. ISBN 9783031555671

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at the 21st UK Workshop on Computational Intelligence, Sheffield, 7-9 September 2022.
Creators: Street, J. and Olajide, F.
Publisher: Springer
Place of Publication: Cham
Date: 2024
Number: 1454
ISBN: 9783031555671
Identifiers:
Number
Type
10.1007/978-3-031-55568-8_22
DOI
2538156
Other
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 27 Nov 2025 09:32
Last Modified: 27 Nov 2025 09:32
URI: https://irep.ntu.ac.uk/id/eprint/54818

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