Summary of Tone: a 3-tiered Ontology For Emotion Analysis, by Srishti Gupta et al.
TONE: A 3-Tiered ONtology for Emotion analysis
by Srishti Gupta, Piyush Kumar Garg, Sourav Kumar Dandapat
First submitted to arxiv on: 11 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study proposes TONE, an emotion-based ontology that categorizes emotions into a hierarchical structure based on Dr. Gerrod Parrot’s emotional grouping system. The researchers introduce a semi-automated vocabulary construction process to generate detailed terms for each emotional tier and establish dependencies between emotions through automated methods. The resulting ontology is evaluated using human and automatic evaluation metrics, demonstrating its quality. Additionally, the study showcases three use cases that demonstrate the applicability of TONE in various domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Emotions are important in many areas like psychology, medicine, and computer science. Scientists have been trying to categorize emotions for a long time. There are two main ways to do this: using labeled data or relying on expert knowledge. However, these methods have limitations. For example, what works well in one area might not work well in another. To overcome these challenges, the researchers created an emotion-based ontology called TONE. This helps us understand emotions better and can be used across different areas. |
