Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media
Table 5. Feature ablation of WESPAD on PHM2017 dataset.
['[BOLD] Feature set', '[BOLD] F1', '[BOLD] Precision', '[BOLD] Recall']
Feature ablation: The experiment shows that we_distortion and we_partitioning feature sets have the highest impact, in terms of F1-measure. We also observe that, in terms of precision, we_partitioning performs better than we_distortion. One possible explanation is that due to the small size of the positive sets, IG-weighting may fail to accurately assign the weights to the word vectors, and thus, the tweet centroid is drifted.