Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mental Health Prediction Using Sentiment Analysis & Facial Recognition

Mental Health Prediction Using Sentiment Analysis & Facial Recognition

Roy, Abhishek
SenGupta, Souvik
Nayak, Aswani Kumar

Paperback

Technology & Engineering

ISBN10: 3659802719
ISBN13: 9783659802713
Publisher: LAP Lambert Academic Publishing
Published: Aug 4 2025
Pages: 116
Weight: 0.36
Height: 0.28 Width: 6.00 Depth: 9.00
Language: English
Mental health disorders represent a growing concern in contemporary society, often remaining undiagnosed due to the subtlety of their symptoms and the stigma surrounding psychological conditions. This project, titled Mental Health Prediction Using Natural Language Sentiment and Facial Expression Recognition, presents a comprehensive, automated framework that leverages advancements in natural language processing and computer vision to identify potential indicators of mental health disturbances. The proposed system adopts a dual-modality approach by analysing both textual data and facial expressions to assess emotional and psychological states. Sentiment analysis is performed on user-generated textual input, extracting emotional cues and evaluating the polarity and intensity of sentiments expressed. Simultaneously, facial expression recognition is employed to decode non-verbal signals using facial landmarks and emotion classification models. By integrating insights from these two modalities, the system enhances the reliability & depth of mental health assessment. This methodology aims to assist mental health professionals by providing a non-invasive, real-time, and scalable solution.

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