Twitter Dataset for Mental Disorders Detection
- Citation Author(s):
-
Miryam Elizabeth Villa-Pérez
(Tecnologico de Monterrey)
Luis A. Trejo
(Tecnologico de Monterrey)
- Submitted by:
- Miryam Villa
- Last updated:
- DOI:
- 10.21227/6pxp-4t91
- Data Format:
- Research Article Link:
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Abstract
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.
Instructions:
- Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs.
- Only the tweet IDs and Annotation are available. The tweet IDs of should be hydrated to form the corpus.
- If you need the full dataset please contact me on: miryam@exatec.tec.mx
Please cite:
Miryam Elizabeth Villa-Pérez, Luis A. Trejo, Maisha Binte Moin, and Eleni Stroulia. 2023. Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access 11, (2023), 128135–128152. doi: 10.1109/ACCESS.2023.3332289
In reply to I like by Alain TENE
In reply to I like by Alain TENE
In reply to I like by Alain TENE
hi
-
@ARTICLE{10315126,
author={Villa-Pérez, Miryam Elizabeth and Trejo, Luis A. and Moin, Maisha Binte and Stroulia, Eleni},
journal={IEEE Access},
title={Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach},
year={2023},
volume={11},
number={},
pages={128135-128152},
keywords={Binary sequences;Classification algorithms;Machine learning;Mental health;Social networking (online);Linguistics;Natural language processing;Cultural aspects;Binary classification;machine learning;mental health disorders;multiclass classification;social media;Twitter},
doi={10.1109/ACCESS.2023.3332289}}
In reply to @ARTICLE{10315126, by Gourav Sen
hi