Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study
More comprehensive assessments of ML classification algorithms and NLP techniques for depression detection can advance the state of the art in terms of improved experimental settings and performance.
Authors
- Giuliano Lorenzoni (ORCID: https://orcid.org/0009-0004-2807-4586)
- Nathalia Nascimento (ORCID: https://orcid.org/0000-0002-4388-6572)
- Cristina Tavares (ORCID: https://orcid.org/0009-0008-6970-0108)
- Paulo Alencar (ORCID: https://orcid.org/0009-0006-2885-0009)
- Don A. Cowan (ORCID: https://orcid.org/0000-0001-8059-861X)
Institutions
- University of Waterloo (CA)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1371/journal.pone.0322299
- Citations
- 5
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 12.19