@inproceedings{126bf32117de4958a35d42f773a38868,
title = "Emotion-based story event clustering",
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{\textquoteright}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.",
keywords = "Event clustering, Event extraction, Event representation",
author = "Yu, \{Hye Yeon\} and Seohui Park and Cheong, \{Yun Gyung\} and Kim, \{Moon Hyun\} and Bae, \{Byung Chull\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 12th International Conference on Interactive Digital Storytelling, ICIDS 2019 ; Conference date: 19-11-2019 Through 22-11-2019",
year = "2019",
doi = "10.1007/978-3-030-33894-7\_36",
language = "English",
isbn = "9783030338930",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "348--353",
editor = "Cardona-Rivera, \{Rogelio E.\} and Young, \{R. Michael\} and Anne Sullivan",
booktitle = "Interactive Storytelling - 12th International Conference on Interactive Digital Storytelling, ICIDS 2019, Proceedings",
address = "United States",
}