Pattern recognition in narrative: Tracking emotional expression in context

Journal article


Ganz, Adam and Murtagh, Fionn 2015. Pattern recognition in narrative: Tracking emotional expression in context. Journal of Data Mining & Digital Humanities.
AuthorsGanz, Adam and Murtagh, Fionn
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.

KeywordsNarrative data mining; Unsupervised classification; Hierarchical classification; Correspondence analysis; Semantics; Literature; Filmscript; Twitter
Year2015
JournalJournal of Data Mining & Digital Humanities
PublisherEpisciences.org
Web address (URL)http://hdl.handle.net/10545/583872
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hdl:10545/583872
Publication dates26 May 2015
Publication process dates
Deposited14 Dec 2015, 11:37
SeriesVol. 647
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ContributorsUniversity of Derby
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https://repository.derby.ac.uk/item/952xv/pattern-recognition-in-narrative-tracking-emotional-expression-in-context

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