Advancing Mental Health Support: An Automated Classification System using Text and Audio Inputs to Identify Depression and Suicidal Tendencies

Talasila, Sumanth and T, Grace Shalini and Chowdary, Shravan and P, Geetha (2025) Advancing Mental Health Support: An Automated Classification System using Text and Audio Inputs to Identify Depression and Suicidal Tendencies. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.

[thumbnail of 79367.pdf] PDF
79367.pdf

Download (385kB)

Abstract

This work builds a contemporary automatic method for assessing depression and suicidality from written narratives and speech. The machine learning algorithms, namely Logistic Regression, Decision Tree, Random Forest, and Multinomial Naive Bayes, are used for accurate mental state classification of u

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:16
Last Modified: 16 Apr 2026 16:00
URI: http://eprints.eai.eu/id/eprint/60013

Actions (login required)

View Item
View Item