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.

Detalles Bibliográficos
Autores principales: Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Otros Autores: Rasel, Mr. Annajiat Alim
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
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
Acceso en línea:http://hdl.handle.net/10361/20156

Internet

http://hdl.handle.net/10361/20156

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