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.

Détails bibliographiques
Auteurs principaux: Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Autres auteurs: Rasel, Mr. Annajiat Alim
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
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
Accès en ligne:http://hdl.handle.net/10361/20156

Internet

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

Documents similaires