Fake News Detection Using Hybrid Models
Hamid Rehman
Investigated the detection of fake vs. real news through innovative hybrid architectures, including BERT+CNN, BERT+LSTM, and BERT+GRU.
Conducted comprehensive comparisons across standalone models (e.g., DistilBERT, CNN, LSTM, GRU) and hybrid approaches to identify the most effective solutions, building a diverse and robust understanding of model behavior.
Like this project
Posted Dec 30, 2024
Investigated fake news detection with hybrid architectures (BERT+CNN, BERT+LSTM, BERT+GRU) and standalone models, identifying effective solutions
Likes
0
Views
0
