DEPRESSION-DETECTION-USING-MACHINE-LEARNING and DEPRESSION-DETECTION-USING-TWEETS

DEPRESSION-DETECTION-USING-MACHINE-LEARNING
35
Emerging
DEPRESSION-DETECTION-USING-TWEETS
31
Emerging
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 16/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 0/25
Stars: 3
Forks: 6
Downloads: —
Commits (30d): 0
Language: HTML
License: MIT
Stars: 13
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About DEPRESSION-DETECTION-USING-MACHINE-LEARNING

Nihalahamad1905/DEPRESSION-DETECTION-USING-MACHINE-LEARNING

Depression detection using machine learning is a vital area of research given the global burden of mental health disorders. This project explores two primary methodologies: leveraging depression quiz tests and analyzing sentences.

About DEPRESSION-DETECTION-USING-TWEETS

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.

mental-health social-media-analysis sentiment-analysis psychological-screening public-health-research

Related comparisons

DEPRESSION-DETECTION-USING-MACHINE-LEARNING and Depression-Detection-System-Using-Machine-Learning DEPRESSION-DETECTION-USING-MACHINE-LEARNING and Depression-Detection-System-Using-Machine-Learning

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