EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Liu, Zhiwei; Yang, Kailai; Xie, Qianqian; Zhang, Tianlin; Ananiadou, Sophia

doi:10.1145/3637528.3671552

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2024

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Cited by 2 publications

References 25 publications

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Securing Against Deception: Exploring Phishing Emails Through ChatGPT and Sentiment Analysis

Sayyafzadeh,

Weatherspoon,

Yan

et al. 2024

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)

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Securing Against Deception: Exploring Phishing Emails Through ChatGPT and Sentiment Analysis

Sayyafzadeh,

Weatherspoon,

Yan

et al. 2024

2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)

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Enhancing health assessments with large language models: A methodological approach

Wang,

Zhou,

Zhou

2024

Applied Psych Health & Well

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Health assessments have long been a significant research topic within the field of health psychology. By analyzing the results of subject scales, these assessments effectively evaluate physical and mental health status. Traditional methods, based on statistical analysis, are limited in accuracy due to their reliance on linear scoring methods. Meanwhile, machine learning approaches, despite their potential, have not been widely adopted due to their poor interpretability and dependence on large amounts of training data. Recently, large language models (LLMs) have gained widespread attention for their powerful natural language understanding capabilities, offering a viable solution to these issues. This study investigates the application of LLMs in enhancing physical and mental health assessments, introducing ScaleLLM. ScaleLLM employs language and knowledge alignment to turn LLMs into expert evaluators for health psychology scales. Experimental results indicate that ScaleLLM can improve the accuracy and interpretability of health assessments.

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EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Cited by 2 publications

References 25 publications

Securing Against Deception: Exploring Phishing Emails Through ChatGPT and Sentiment Analysis

Securing Against Deception: Exploring Phishing Emails Through ChatGPT and Sentiment Analysis

Enhancing health assessments with large language models: A methodological approach

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