Location reference identification from tweets during emergencies: A deep learning approach
Table 5: Result of the proposed Convolutional Neural Network- (CNN) based model with filter size of 2-gram, 3-gram, and 4-gram.
['Approach', 'Precision', 'Recall', '[ITALIC] F1-score', 'Hamming Loss', 'Jaccard Similarity', 'Exact matching']
, we experimented with ten different combinations of CNN, dense, and dropout layers. So for further experimentation, we fixed the number of dense layers to two.