Neural Network Architecture for Credibility Assessment of Textual Claims
Table 5: Comparison between different classifiers.
['[EMPTY]', 'Overall', 'True Claims', 'False Claims', 'Macro- averaged', '[EMPTY]', 'Fake Claims', 'Fake Claims', 'Fake Claims']
As observed, the RBF-SVM model and MLP-NN model are better than the other architectures and have similar scores. Hence, these models were chosen for the main architecture.