Deep learning for religious and continent-based toxic content detection and classification
Crossref DOI link: https://doi.org/10.1038/s41598-022-22523-3
Published Online: 2022-10-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Abbasi, Ahmed
Javed, Abdul Rehman
Iqbal, Farkhund
Kryvinska, Natalia
Jalil, Zunera
Text and Data Mining valid from 2022-10-19
Version of Record valid from 2022-10-19
Article History
Received: 16 April 2022
Accepted: 17 October 2022
First Online: 19 October 2022
Competing interests
: The authors declare no competing interests.