Pattern recognition in narrative: Tracking emotional expression in context
Journal article
Authors | Ganz, Adam and Murtagh, Fionn |
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Abstract | Using geometric data analysis, our objective is the analysis of narrative, with narrative of emotion being the focus in this work. The following two principles for analysis of emotion inform our work. Firstly, emotion is revealed not as a quality in its own right but rather through interaction. We study the 2-way relationship of Ilsa and Rick in the movie Casablanca, and the 3-way relationship of Emma, Charles and Rodolphe in the novel {\em Madame Bovary}. Secondly, emotion, that is expression of states of mind of subjects, is formed and evolves within the narrative that expresses external events and (personal, social, physical) context. In addition to the analysis methodology with key aspects that are innovative, the input data used is crucial. We use, firstly, dialogue, and secondly, broad and general description that incorporates dialogue. In a follow-on study, we apply our unsupervised narrative mapping to data streams with very low emotional expression. We map the narrative of Twitter streams. Thus we demonstrate map analysis of general narratives. |
Keywords | Narrative data mining; Unsupervised classification; Hierarchical classification; Correspondence analysis; Semantics; Literature; Filmscript; Twitter |
Year | 2015 |
Journal | Journal of Data Mining & Digital Humanities |
Publisher | Episciences.org |
Web address (URL) | http://hdl.handle.net/10545/583872 |
An error occurred getting the license - uri. | |
hdl:10545/583872 | |
Publication dates | 26 May 2015 |
Publication process dates | |
Deposited | 14 Dec 2015, 11:37 |
Series | Vol. 647 |
Rights | An error occurred on the license name. |
Contributors | University of Derby |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/952xv/pattern-recognition-in-narrative-tracking-emotional-expression-in-context
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