Synopsis
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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Mental Health Prediction Using Sentiment Analysis & Facial Recognition (Paperback)
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783659802713
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Mental Health Prediction Using Sentiment Analysis and Facial Recognition
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
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Mental Health Prediction Using Sentiment Analysis and Facial Recognition
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
PAP
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9783659802713
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Mental Health Prediction Using Sentiment Analysis & Facial Recognition
Edité par
LAP LAMBERT Academic Publishing Aug 2025, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch. N° de réf. du vendeur 9783659802713
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Expédition depuis Allemagne vers Etats-Unis
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Mental Health Prediction Using Sentiment Analysis & Facial Recognition (Paperback)
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783659802713
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Mental Health Prediction Using Sentiment Analysis & Facial Recognition
Edité par
LAP LAMBERT Academic Publishing Aug 2025, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. N° de réf. du vendeur 9783659802713
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Mental Health Prediction Using Sentiment Analysis & Facial Recognition
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783659802713
Acheter neuf
EUR 60,90
Expédition à EUR 60,96
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Mental Health Prediction Using Sentiment Analysis & Facial Recognition
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 3659802719
ISBN 13 : 9783659802713
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Mental Health Prediction Using Sentiment Analysis & Facial Recognition | Abhishek Roy (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9783659802713 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133924111
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