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Sensing, Recognition, and Prediction Methods / Affect, Emotion, and Mental Health State Inference

How can large language models (LLMs) be used with online text data to predict mental health status?

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can large language models (LLMs) be used with online text data to predict mental health status?

UbiComp '24Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Similar questions

helpResearch questionAffect, Emotion, and Mental Health State Inference

How do personalized deep learning models differ from non-personalized models in emotion recognition performance?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How effective are different personalization approaches (fine-tuning, group clustering, multi-task learning, etc.) across multiple datasets?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can personalized models adapt to new users and improve emotion recognition performance under limited data?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can sentiment scores of screen text be used to predict users' emotional states?

UbiComp '24Predicting Affective States from Screen Text Sentiment

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can zero-shot and few-shot prompting with LLMs outperform linear regression in emotion prediction?

UbiComp '24Predicting Affective States from Screen Text Sentiment

helpResearch questionAffect, Emotion, and Mental Health State Inference

What role does personalized modeling play in screen-text emotion prediction?

UbiComp '24Predicting Affective States from Screen Text Sentiment

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