AquibPy/HaSa
A Depression Text Detector - A Machine Learning Web App
This web application helps mental health professionals or support organizations quickly screen large volumes of text for indicators of depression. You input written messages, such as forum posts or chat logs, and it outputs a prediction of whether the text suggests depressive sentiment. This tool is designed for counselors, psychologists, or community managers monitoring online platforms.
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Use this if you need an automated way to identify potential depression cues from user-generated text.
Not ideal if you require a diagnostic tool, as this provides a screening prediction, not a clinical diagnosis.
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Last pushed
Oct 16, 2024
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