A tutorial-style benchmark showing that standard classifiers reach binary F1 0.93 to 0.96 and multiclass F1 0.75 to 0.78 on a Kaggle mental-health text dataset, with no new method or result introduced.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
A tutorial-style benchmark showing that standard classifiers reach binary F1 0.93 to 0.96 and multiclass F1 0.75 to 0.78 on a Kaggle mental-health text dataset, with no new method or result introduced.