Mental Health Sentiment Analysis

Advanced AI-powered system for early detection and monitoring of mental health indicators through natural language processing and machine learning.

Understanding Mental Health Through AI

Our system applies advanced sentiment analysis to mental wellness, providing valuable insights for early intervention and continuous monitoring.

NLP & Machine Learning
We use state-of-the-art natural language processing and machine learning models (Naive Bayes, SVM, BERT, GPT) to analyze text and identify mental health indicators.
Clinical Relevance
Our system integrates validated clinical screening tools like PHQ-9 and GAD-7 to provide comprehensive mental health assessments aligned with medical standards.
Continuous Monitoring
Track mental health trends over time with our visualization tools, enabling proactive intervention and personalized care strategies.

Why Sentiment Analysis Matters in Mental Health

Language patterns and emotional expressions in text can reveal important indicators of mental health conditions before they become severe. By analyzing these patterns, our system can:

  • Detect early signs of depression, anxiety, and stress
  • Monitor response to treatment and interventions
  • Provide objective data to complement clinical assessments
  • Enable remote monitoring for telehealth applications

In clinical settings, our technology serves as a valuable supplementary tool that can:

  • Support healthcare providers with data-driven insights
  • Reduce the burden of manual screening and assessment
  • Improve access to mental health resources
  • Facilitate earlier intervention and potentially better outcomes
  • Bridge gaps between appointments with continuous monitoring

Comprehensive Features

Our mental health sentiment analysis system offers a wide range of capabilities designed for clinical and personal use.

Real-time & Batch Analysis

Process text inputs instantly or analyze large datasets in batch mode for comprehensive insights.

Multilingual Support

Analyze text in multiple languages to serve diverse populations and global mental health initiatives.

Emotion Classification

Identify specific emotional states including anxiety, depression, stress, and positive sentiments.

Medical Survey Integration

Incorporate standardized assessments like PHQ-9 and GAD-7 with automatic scoring and interpretation.

Visualization Dashboards

Track mental health trends over time with intuitive charts and actionable insights.

Secure Cloud Deployment

Access the system from anywhere with enterprise-grade security and data protection.

API Integration

Seamlessly connect with existing health platforms and electronic health records.

Privacy-Focused Design

Built with data protection and patient confidentiality as core principles.

System Architecture

Our platform combines modern frontend technologies with powerful backend services and machine learning capabilities.

Data Input

Text Analysis

PHQ-9 & GAD-7

User Journals

Processing

NLP Pipeline

ML Models

Data Normalization

Analysis

Sentiment Scoring

Emotion Detection

Pattern Recognition

Results

Visualizations

Clinical Insights

Recommendations

Try Our Sentiment Analysis

Enter some text about how you're feeling, and our AI will analyze the emotional content. This is a demonstration of our real-time text analysis capabilities.

Input Your Text
Share your thoughts, feelings, or a journal entry for analysis
Analysis Results
AI-powered emotional sentiment detection

Enter your text and click "Analyze Sentiment" to see results

How It Works

Our sentiment analysis system uses a combination of natural language processing (NLP) and machine learning models to analyze text:

  1. Your text is preprocessed to normalize and clean the input
  2. Our NLP pipeline extracts key features and linguistic patterns
  3. Multiple ML models (including Naive Bayes, SVM, BERT, and GPT) analyze the text
  4. The system identifies emotional content and mental health indicators
  5. Results are presented with scores for different emotional states

Note: This demo provides a simplified version of our full analysis capabilities. The production system includes more comprehensive analysis, historical tracking, and personalized insights.

Medical Screening Surveys

Complete these validated clinical screening tools to assess symptoms of depression and anxiety. These surveys are commonly used in healthcare settings for initial assessment.

Mental Health Screening Tools
Select a survey to complete. Your responses are confidential and will be used to provide a preliminary assessment.

Over the last 2 weeks, how often have you been bothered by any of the following problems?

Little interest or pleasure in doing things

Feeling down, depressed, or hopeless

Trouble falling or staying asleep, or sleeping too much

Feeling tired or having little energy

Poor appetite or overeating

Feeling bad about yourself - or that you are a failure or have let yourself or your family down

Trouble concentrating on things, such as reading the newspaper or watching television

Moving or speaking so slowly that other people could have noticed. Or the opposite - being so fidgety or restless that you have been moving around a lot more than usual

Thoughts that you would be better off dead, or of hurting yourself in some way

Disclaimer: These screening tools are provided for educational and informational purposes only. They are not intended to diagnose any health condition or to replace the expertise and judgment of healthcare professionals. Always consult with a qualified healthcare provider for proper diagnosis and treatment of any medical condition.

Contact Us

Have questions about our Mental Health Sentiment Analysis System? Reach out to our team for more information or to schedule a demo.

Send Us a Message
Fill out the form below and we'll get back to you as soon as possible.
Contact Information
Reach out to us directly using the information below.

Email

ns6581@srmist.edu.in

Phone

96xxxxx52

Address

522
DElhi
India

For Healthcare Providers
Special resources for clinical implementation

We offer specialized support for healthcare providers looking to implement our system in clinical settings:

  • Integration with electronic health records
  • HIPAA-compliant deployment options
  • Clinical validation documentation
  • Staff training and implementation support