Identifying code-mixed and code-switched hateful remarks on social media using NLP

Identifying code-mixed and code-switched hateful remarks on social media using NLP

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Dettagli Bibliografici
Autori principali:	Sinha, Sumaiya, Nawar, Naharin Siddiqui, Khan, Md. Abrar Faiaz
Altri autori:	Sadeque, Farig
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Cyberbullying Cyber harassment Online bullying Social media Hate speech NLP Natural language processing (Computer science). Automatic speech recognition. Deep learning (Machine learning).
Accesso online:	http://hdl.handle.net/10361/24270

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