Emotion-Based Story Event Clustering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 배병철 | - |
dc.date.available | 2020-07-10T02:36:49Z | - |
dc.date.created | 2020-07-08 | - |
dc.date.issued | 2019-11-19 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/869 | - |
dc.description.abstract | 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.title | Emotion-Based Story Event Clustering | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 배병철 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (LNCS), v.11869, no.1, pp.348 - 353 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (LNCS) | - |
dc.citation.title | Lecture Notes in Computer Science (LNCS) | - |
dc.citation.volume | 11869 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 348 | - |
dc.citation.endPage | 353 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
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