Amey-Thakur/DEPRESSION-DETECTION-USING-TWEETS
Machine Learning Project for Depression Detection Using Tweets.
This tool helps mental health professionals or researchers analyze social media posts to identify potential depressive characteristics. You input text from tweets, and the system processes it using advanced natural language understanding to output a prediction about depressive sentiment. It's designed for quick, real-time analysis.
Use this if you need to quickly assess the sentiment of individual tweets for potential indicators of depression.
Not ideal if you need to analyze large datasets of tweets or require highly nuanced, clinical diagnostic accuracy for mental health assessments.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 21, 2026
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