P. Jadhav

Deep Learning Methods for Multimodal Fake News Classification Combining Textual and Visual Information

The authors suggest a computationally efficient multimodal deep learning framework using Bidirectional Encoder Representations of Transformers (BERT) to extract textual features and convolutional neural networks to learn visual representations that offers a computational scaling alternative to attention-based models, w...