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.

Bibliografiska uppgifter
Huvudupphovsmän:	Sinha, Sumaiya, Nawar, Naharin Siddiqui, Khan, Md. Abrar Faiaz
Övriga upphovsmän:	Sadeque, Farig
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Cyberbullying Cyber harassment Online bullying Social media Hate speech NLP Natural language processing (Computer science). Automatic speech recognition. Deep learning (Machine learning).
Länkar:	http://hdl.handle.net/10361/24270

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