Twitter Dataset for Mental Disorders Detection

 We provide two datasets extracted from Twitter, in Spanish and English, and annotate each one with approximately 1,500 users who have been diagnosed with one of nine different mental disorders (Adhd, Autism, Anxiety, Bipolar, Depression, Eating disoders, Ocd, Ptsd and Schizophrenia) along with 1,700 matched-control users. For both datasets, the outcome is a total of just over 3,000 Twitter users with their corresponding timelines (the texts retrieved from each user cover at least 3 months of activity on the social media), which support two user-level classification tasks, binary and multiclass. — Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, and (ii) remain in compliance with Twitter's Developer Policy.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于心理健康障碍检测的多语言Twitter数据集，包含西班牙语和英语的推文数据，标注了约1,500名患有九种不同心理健康障碍（如ADHD、焦虑症、抑郁症等）的用户以及1,700名匹配对照组用户，总计超过3,000名用户及其至少三个月的时间线数据。数据集支持用户级别的二元和多类分类任务，适用于非商业研究，并需遵循Twitter政策，数据以CSV压缩文件形式提供。