Papers with Health Communities
EnsyNet: A Dataset for Encouragement and Sympathy Detection (2022.lrec-1)
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| Challenge: | Existing studies on emotional support detection focus on the presence or absence of emotional support, while the available datasets are limited or scarce in terms of size. |
| Approach: | They propose to use a dataset of 6,500 sentences annotated with encouragement and sympathy to train BERT-based classifiers on this dataset and apply their best BERT model to two large scale experiments. |
| Outcome: | The proposed model improves the emotional state of users while the lack of emotional support negatively impacts patients’ emotional state. |