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            <namePart type="given">Bharathi</namePart>
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    <abstract>Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social media usage, then there is a significant population of potentially undiagnosed users and posts that they create. In this paper, we propose a depression detection system using a semi-supervised learning technique. Namely, we use a trained model to classify a large number of unlabelled social media posts from Reddit, then use these generated labels to train a more powerful classifier. We demonstrate our framework on Detecting Signs of Depression from Social Media Text - LT-EDI@RANLP 2023 shared task, where our framework ranks 3rd overall.</abstract>
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%0 Conference Proceedings
%T Cordyceps@LT-EDI : Depression Detection with Reddit and Self-training
%A Ninalga, Dean
%Y Chakravarthi, Bharathi R.
%Y Bharathi, B.
%Y Griffith, Joephine
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F ninalga-2023-cordyceps-lt
%X Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social media usage, then there is a significant population of potentially undiagnosed users and posts that they create. In this paper, we propose a depression detection system using a semi-supervised learning technique. Namely, we use a trained model to classify a large number of unlabelled social media posts from Reddit, then use these generated labels to train a more powerful classifier. We demonstrate our framework on Detecting Signs of Depression from Social Media Text - LT-EDI@RANLP 2023 shared task, where our framework ranks 3rd overall.
%U https://aclanthology.org/2023.ltedi-1.29/
%P 192-197

Markdown (Informal)

[Cordyceps@LT-EDI : Depression Detection with Reddit and Self-training](https://aclanthology.org/2023.ltedi-1.29/) (Ninalga, LTEDI 2023)

• Cordyceps@LT-EDI : Depression Detection with Reddit and Self-training (Ninalga, LTEDI 2023)

ACL

• Dean Ninalga. 2023. Cordyceps@LT-EDI : Depression Detection with Reddit and Self-training. In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pages 192–197, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.