A hybrid rumor detection model derived from a comparative study of supervised approaches

A hybrid rumor detection model derived from a comparative study of supervised approaches

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Opis bibliograficzny
Główni autorzy:	Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Kolejni autorzy:	Rasel, Mr. Annajiat Alim
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Rumor detection NLP Machine learning Deep learning Decision tree Random forest Naive bayes Support Vector Machine (SVM) BERT RNN CNN Artificial intelligence Cognitive learning theory
Dostęp online:	http://hdl.handle.net/10361/20156

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