Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Recurso digital |
| Jazyk: | |
| Vydáno: |
Zenodo
2025
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| On-line přístup: | https://doi.org/10.5281/zenodo.15617606 |
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Obsah:
- <p>There are more cases of depression affecting people nowadays compared to before. There are<br>people who realise their depression, but for some, it goes unknown. At the same time, individuals often<br>share their feelings and thoughts on social media platforms which acts as a virtual diary to them. Studies<br>done lately have attempted to recognise depression by applying machine learning to content produced by<br>users. Analysing these posts is used to determine if a person is experiencing depression. The proposed<br>research aims to spot depression in individuals by monitoring their X messages. Both Naïve Bayes and<br>NBTree will be used to classify the prepared data. Scientists found that both algorithms show roughly the<br>same high accuracy in detecting depression.</p>