Unveiling Human Values: Analyzing Emotions behind Arguments

Amir Reza Jafari*, Praboda Rajapaksha, Reza Farahbakhsh, Guanlin Li, Noel Crespi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Detecting the underlying human values within arguments is essential across various domains, ranging from social sciences to recent computational approaches. Identifying these values remains a significant challenge due to their vast numbers and implicit usage in discourse. This study explores the potential of emotion analysis as a key feature in improving the detection of human values and information extraction from this field. It aims to gain insights into human behavior by applying intensive analyses of different levels of human values. Additionally, we conduct experiments that integrate extracted emotion features to improve human value detection tasks. This approach holds the potential to provide fresh insights into the complex interactions between emotions and values within discussions, offering a deeper understanding of human behavior and decision making. Uncovering these emotions is crucial for comprehending the characteristics that underlie various values through data-driven analyses. Our experiment results show improvement in the performance of human value detection tasks in many categories.

Original languageEnglish
Article number327
JournalEntropy
Volume26
Issue number4
Early online date12 Apr 2024
DOIs
Publication statusPublished - 12 Apr 2024

Keywords

  • emotion analysis
  • GenAI
  • human values
  • language models
  • LLMs
  • Genai
  • Language Models
  • Emotion Analysis
  • Llms
  • Human Values

Fingerprint

Dive into the research topics of 'Unveiling Human Values: Analyzing Emotions behind Arguments'. Together they form a unique fingerprint.

Cite this