Predicting mental illness using social media posts and comments

Keyphrases

• Proposed Methodology 100%
• Mental Illness 100%
• Social Media Posts 100%
• Social Media Comments 100%
• Mental Disorders 66%
• Posttraumatic Stress Disorder 66%
• Autism 66%
• Schizophrenia 66%
• Social Media Platforms 66%
• Obsessive-compulsive Disorder 66%
• Social Media 33%
• Patient Data 33%
• Machine Learning Techniques 33%
• Machine Learning Algorithms 33%
• Infectious Diseases 33%
• Support Vector Machine 33%
• Reddit 33%
• Medical Experts 33%
• Data Classification 33%
• Nave Bayes 33%
• Accurate Classification 33%
• Existing State 33%
• E-health 33%
• Target Domain 33%
• Novel Machine 33%
• XGBoost 33%

Computer Science

• Social Medium Platform 100%
• Traumatic Stress Disorder 100%
• Compulsive Disorder 100%
• Experimental Result 50%
• Support Vector Machine 50%
• Research Community 50%
• Machine Learning Algorithm 50%
• Nave Bayes 50%
• Extreme Gradient Boosting 50%