Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health
Table 3: Review-level (left) and sentence-level (right) evaluation results for discovering foodborne illness.
['[BOLD] Method', '[BOLD] REV  [BOLD] F1', '[BOLD] SENT  [BOLD] Prec', '[BOLD] SENT  [BOLD] Rec', '[BOLD] SENT  [BOLD] F1', '[BOLD] SENT  [BOLD] AUPR']
Rev-LR-EMB has significantly lower F1 score than Rev-CNN and Rev-RNN: representing a review as the uniform average of the word embeddings is not an appropriate modeling choice for this task, where only a few segments in each review are relevant to the positive class.