Leveraging multi-class sentiment analysis on social media text for detecting signs of depression

Sowbarnigaa K. S.; Kogilavani Shanmugavadivel; Sriraam R. V.; Malliga Subramanian; Sandhiya R.; Sathishkumar V. E.

doi:10.54254/2755-2721/2/20220660

Article Information

Received: 20 July 2023

Published: 22 March 2023

DOI: https://doi.org/10.54254/2755-2721/2/20220660

Article Type: Research Article

Cite this article

S.,S.K.;Shanmugavadivel,K.;V.,S.R.;Subramanian,M.;R.,S.;E.,S.V. (2023). Leveraging multi-class sentiment analysis on social media text for detecting signs of depression. Applied and Computational Engineering,2,242-251.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title: ACE Vol.2

Part of Series: Applied and Computational Engineering

ISSN: 2755-2721 (Print) / 2755-273X (Online)

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