Interactive Storytelling, p.348-353
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Details
- Autor(en) / Beteiligte
- Titel
- Emotion-Based Story Event Clustering
- Ist Teil von
- Interactive Storytelling, p.348-353
- Ort / Verlag
- Cham: Springer International Publishing
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- In this paper we explore how events can be represented and extracted from text stories, and describe the results from our simple experiment on extracting and clustering events. We applied k-means clustering algorithm and NLTK-VADER sentiment analyzer based on Plutchik’s 8 basic emotion model. When compared with human raters, some emotions show low accuracy while other emotion types, such as joy and sadness, show relatively high accuracy using our method.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9783030338930, 3030338932ISSN: 0302-9743eISSN: 1611-3349DOI: 10.1007/978-3-030-33894-7_36Titel-ID: cdi_springer_books_10_1007_978_3_030_33894_7_36
- Format
- –
- Schlagworte
- Event clustering, Event extraction, Event representation