Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
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Updated
Aug 23, 2021 - Python
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
The baseline code for the CLPsych 2021 Shared Task.
A basic machine learning project for studying and analysing WHO suicide statistics collected since 1979. We used python as the programming language, Spider as the IDE for coding, and such well-known libraries as Numpy (for using mathematical functions and working with arrays), Pandas (for analyzing data from files), matplotlib (for visualizing d…
An open-source AI project that can communicate and listen to emotions and react with them appropriately
Exploring Linguistic Signal for Suicidality in Social Media
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. 2021
This research uncovers the increased suicide risk in men with mental illness post-hospitalization, analyzing 1.4M+ cases. It highlights the importance of targeted interventions based on identified risk factors.
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