DepressSet: a dataset of textual analyses on depressive posts

• Silas Lima Filho UFRJ
• Eliel Roger da Silva UFRJ
• Jonice Oliveira UFRJ
• Mônica Ferreira da Silva UFRJ

DOI: https://doi.org/10.5753/brasnam.2024.2774

Abstract

Social media can be useful for seeking help or guidance on how to deal with or to better understand depressive disorder. However, dealing with data on such a disorder can be challenging due to the sensitivity of the content domain or even the difficulty in finding data on the subject. In this work, we present a dataset collected from depression-related communities on Facebook in September 2022. We specify the extraction, processing, storage, and release of the data, along with its limitations, challenges, and lessons learned. We enriched the captured data with linguistic analyses of the posts and also with predictions for each post using a text classification model. Finally, we propose potential applications of the dataset and its limitations.

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