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.

Opis bibliograficzny
Główni autorzy: Aothoi, Mehzabin Sadat, Ahsan, Samin, Ahmed, Fardeen
Kolejni autorzy: Rasel, Mr. Annajiat Alim
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2023
Hasła przedmiotowe:
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
Dostęp online:http://hdl.handle.net/10361/20156

Internet

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

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