Computational properties of fiction writing and collaborative work

Joseph Reddington, Fionn Murtagh, Douglas Cowie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

From the earliest days of computing, there have been tools to help shape narrative. Spell-checking, word counts, and readability analysis, give today's novelists tools that Dickens, Austen, and Shakespeare could only have dreamt of. However, such tools have focused on the word, or phrase levels. In the last decade, research focus has shifted to support for collaborative editing of documents. This work considers more sophisticated attempts to visualise the semantics, pace and rhythm within a narrative through data mining. We describe real life applications in two related domains.

Original languageEnglish
Title of host publicationAdvances in Intelligent Data Analysis XII
EditorsAllan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
PublisherSpringer Berlin
Pages369-379
Number of pages11
ISBN (Electronic)9783642413988
ISBN (Print)9783642413971
DOIs
Publication statusPublished - 11 Nov 2013
Externally publishedYes
Event12th International Symposium on Intelligent Data Analysis - Royal Statistical Society, London, United Kingdom
Duration: 17 Oct 201319 Oct 2013
Conference number: 12
http://ida2013.org/ (Link to Conference Website )

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8207 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Symposium on Intelligent Data Analysis
Abbreviated titleIDA 2013
CountryUnited Kingdom
CityLondon
Period17/10/1319/10/13
Internet address

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Cite this

Reddington, J., Murtagh, F., & Cowie, D. (2013). Computational properties of fiction writing and collaborative work. In A. Tucker, F. Höppner, A. Siebes, & S. Swift (Eds.), Advances in Intelligent Data Analysis XII (pp. 369-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8207 LNCS). Springer Berlin. https://doi.org/10.1007/978-3-642-41398-8_32