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Twiter ML depression study
ML study performed to develop models that predict depressive and non-depressive users in Twitter. Original study providing the data: https://www.jmir.org/2019/6/e14199/
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Lucia Prieto authored2dc07142
ML study performed to develop models that predict depressive and non-depressive users in Twitter. Original study providing the data: https://www.jmir.org/2019/6/e14199/
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datasets | Loading commit data... | |
figures | Loading commit data... | |
results | Loading commit data... | |
01 - DescriptiveAnalysis.ipynb | Loading commit data... | |
02 - Generate datasets.ipynb | Loading commit data... | |
03 - Feature analysis original dataset.ipynb | Loading commit data... | |
04 - Feature analysis derivated datasets.ipynb | Loading commit data... | |
05 - ML Models - no sampling and without hyperparam.ipynb | Loading commit data... | |
06 - ML Models - sampling after split.ipynb | Loading commit data... | |
07 - ML Models - sampling before split.ipynb | Loading commit data... | |
08 - Analyzing and plotting models results.ipynb | Loading commit data... | |
09 - Exploring best models.ipynb | Loading commit data... | |
10 - Models with chosen variables - generate, analyze and explore.ipynb | Loading commit data... | |
README.md | Loading commit data... |