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

Online

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

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