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Dataset . 2021
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Reddit SuicideWatch and Mental Health Collection (SWMH) for Suicidal Ideation and Mental Disorder Detection

Authors: Shaoxiong Ji; Xue Li; Zi Huang; Erik Cambria;

Reddit SuicideWatch and Mental Health Collection (SWMH) for Suicidal Ideation and Mental Disorder Detection

Abstract

We collect this dataset from some mental health-related subreddits in https://www.reddit.com/ to further the study of mental disorders and suicidal ideation. We name this dataset as Reddit SuicideWatch and Mental Health Collection, or SWMH for short, where discussions comprise suicide-related intention and mental disorders like depression, anxiety, and bipolar. We use the Reddit official API and develop a web spider to collect the targeted forums. This collection contains a total of 54,412 posts. Specific subreddits are listed in Table 4 of the below paper, as well as the number and the percentage of posts collected in the train-val-test split. This dataset is only for research. Please request with your institutional email. If you use this dataset, please cite the paper as: Ji, S., Li, X., Huang, Z. et al. Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-06208-y @article{ji2021suicidal, title={Suicidal ideation and mental disorder detection with attentive relation networks}, author={Ji, Shaoxiong and Li, Xue and Huang, Zi and Cambria, Erik}, journal={Neural Computing and Applications}, year={2021}, publisher={Springer} }

Keywords

Mental Health, Suicidal Ideation Detection, Reddit, Suicide Watch, NLP for Mental Health, Social Text, Natural Language Processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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