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Unveiling Human Values: Analyzing Emotions behind Arguments
Amir Reza Jafari1, Praboda Rajapaksha1,2, Reza Farahbakhsh1
1Samovar, Telecom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France.
This study shows that analyzing emotions can significantly improve the detection of human values in text. This approach offers deeper insights into human behavior and decision-making processes.
Area of Science:
- Computational Social Science
- Psychology
- Linguistics
Background:
- Identifying human values in discourse is challenging due to their implicit nature and large quantity.
- Understanding human values is crucial for social sciences and computational approaches.
- Emotion analysis offers a novel feature for value detection.
Purpose of the Study:
- To explore emotion analysis for enhanced human value detection.
- To gain insights into human behavior through value and emotion analysis.
- To improve information extraction related to human values.
Main Methods:
- Applied intensive analyses of human values at different levels.
- Integrated extracted emotion features into value detection models.
- Conducted data-driven analyses to uncover underlying value characteristics.
Main Results:
- Emotion analysis significantly improved human value detection performance.
- Demonstrated enhanced information extraction capabilities.
- Provided deeper understanding of emotion-value interactions in discourse.
Conclusions:
- Emotion analysis is a key feature for improving human value detection.
- This approach offers novel insights into human behavior and decision-making.
- Data-driven analysis of emotions is crucial for understanding values.
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