Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset
April 16, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Nandigramam Sai Harshit, Nilesh Kumar Sahu, Haroon R. Lone
arXiv ID
2405.06656
Category
cs.CL: Computation & Language
Cross-listed
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Depression is one of the most common mental disorders affecting an individual's personal and professional life. In this work, we investigated the possibility of utilizing social media posts to identify depression in individuals. To achieve this goal, we conducted a preliminary study where we extracted and analyzed the top Reddit posts made in 2022 from depression-related forums. The collected data were labeled as depressive and non-depressive using UMLS Metathesaurus. Further, the pre-processed data were fed to classical machine learning models, where we achieved an accuracy of 92.28\% in predicting the depressive and non-depressive posts.
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