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.

Bibliographische Detailangaben
Hauptverfasser:	Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Weitere Verfasser:	Rasel, Mr. Annajiat Alim
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	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
Online Zugang:	http://hdl.handle.net/10361/20156

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