Leveraging Emotional Intelligence Metrics and NLP-Driven Sentiment Analysis for Predictive Workplace Mental Health Monitoring

Emotion recognition from user-generated text is vital for mental health monitoring, organizational well-being, and social media analytics. We propose a multi-label classification framework leveraging a fine-tuned BERT model to detect overlapping emotional states - joy, sadness, anger, and fear in so...

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Veröffentlicht in:	2025 International Conference on Sensors and Related Networks (SENNET) Special Focus on Digital Healthcare(64220) S. 1 - 6
Hauptverfasser:	Bhadauriya, Rajvardhan Singh, Shekhar, Kumar Animesh, Jain, Pratham, Vaid, Medha, R, Dhinesh Kumar, A, Rammohan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 24.07.2025
Schlagworte:	BERT Bidirectional control Emotion Classification Emotion recognition Encoding Measurement Mental health Monitoring Multi-label Learning Real-time systems Sentiment analysis Social networking (online) UML Unified modeling language
Online-Zugang:	Volltext
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