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.

Dettagli Bibliografici
Autori principali: Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Altri autori: Rasel, Mr. Annajiat Alim
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2023
Soggetti:
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
Accesso online:http://hdl.handle.net/10361/20156

Accesso online

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

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