Papers by Augusto R. Mendes
Identifying Fine-grained Depression Signs in Social Media Posts (2024.lrec-main)
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| Challenge: | Currently, most studies focus on a binary classification setup or on pre-established resources. |
| Approach: | They evaluated machine learning techniques to model 21 depression signs in social media posts from Brazilian undergraduate students. |
| Outcome: | The proposed methods struggle to classify the majority of depression signs on social media posts, compared with the majority on the social media sites. |