Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media
Table 3. Average F1-measure, precision, and recall in PHM2017 dataset.
['[BOLD] Model', '[BOLD] F1', '[BOLD] Precision', '[BOLD] Recall']
The results show that the main improvement of WESPAD comes from the higher recall, i.e., detecting additional true health mentions. On the other hand, LSTM+GRNN has the lowest precision, and this can be attributed to the complex structure of the network which expects to be fine-tuned during the training.