What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

J Kuang, J Xie, Z Yan - arXiv preprint arXiv:2305.13127, 2023 - arxiv.org
Depression is the most prevalent and serious mental illness, which induces grave financial
and societal ramifications. Depression detection is key for early intervention to mitigate those …

Performance of Content-Based Features to Detect Depression Tendencies in Different Text Lengths

NZ Zulkarnain, NF Abd Yusof… - … in Engineering and …, 2022 - ieeexplore.ieee.org
Text analytics have been widely used nowadays in the field of mental health to predict onset
mental health issues such as depression and anxiety, with the intention to perform early …

Automatic analysis of X (Twitter) data for supporting depression diagnosis

A Królak, T Wiktorski, A Żmudzińska - 2023 - uis.brage.unit.no
Depression is an increasingly common problem that often goes undiagnosed. The aim of
this paper was to determine whether an analysis of tweets can serve as a proxy for …

[HTML][HTML] Depression Detection in Single Tweets Using Content-Based Features

NZ Zulkarnain, H Basiron… - Proceedings of the 3rd …, 2021 - books.google.com
Individuals with depression or depression tendency subconsciously use a set of words to
express themselves. With social medias being the preferred platform for expressions and …