An Ensemble Deep Learning Model for Mental Depressive Disorder Classification and Suicidal Ideation through Tweets

Early detection of mental depression prevents the severe repercussions of long-term depressive symptoms such as suicidal thoughts and ideation. With the widespread use of social media and the internet these days, prompt identification of emotional reactions is essential. Therefore, monitoring social media texts like Facebook comments or tweets could be highly helpful in detecting the mental depression.

Authors

Publication Details

Journal
Sylwan
Published
2025-01-01
DOI
https://doi.org/10.59879/o94ja
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

An Ensemble Deep Learning Model for Mental Depressive Disorder Classification and Suicidal Ideation through Tweets

Roneel V. Sharan, S. Kanimozhi, Vani Rajasekar, S Sankarananth et al.
Sylwan
Mental Health via Writing
article

An Ensemble Deep Learning Model for Mental Depressive Disorder Classification and Suicidal Ideation through Tweets

Roneel V. Sharan, S. Kanimozhi, Vani Rajasekar, S Sankarananth, R. Nitiish
article en

Abstract

Early detection of mental depression prevents the severe repercussions of long-term depressive symptoms such as suicidal thoughts and ideation. With the widespread use of social media and the internet these days, prompt identification of emotional reactions is essential. Therefore, monitoring social media texts like Facebook comments or tweets could be highly helpful in detecting the mental depression.

Sylwan
Openalex Percentile: Top 92%
Mental Health via Writing
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An Ensemble Deep Learning Model for Mental Depressive Disorder Classification and Suicidal Ideation through Tweets — Roneel V. Sharan, S. Kanimozhi, et al. · Sylwan (2025) | TGRS Research Map | TGRS