Emotion Arcs of Student Narratives
| Autor: | Xianyang Chen, Michael Flor, Swapna Somasundaran |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
Computer science 02 engineering and technology Arc (geometry) 03 medical and health sciences 0302 clinical medicine 030221 ophthalmology & optometry 0202 electrical engineering electronic engineering information engineering Quality (philosophy) 020201 artificial intelligence & image processing Narrative Affect (linguistics) Plot (narrative) Construct (philosophy) Event (probability theory) Cognitive psychology |
| Zdroj: | NUSE@ACL |
| DOI: | 10.18653/v1/2020.nuse-1.12 |
| Popis: | This paper studies emotion arcs in student narratives. We construct emotion arcs based on event affect and implied sentiments, which correspond to plot elements in the story. We show that student narratives can show elements of plot structure in their emotion arcs and that properties of these arcs can be useful indicators of narrative quality. We build a system and perform analysis to show that our arc-based features are complementary to previously studied sentiment features in this area. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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