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Network analysis of narrative content in large corpora

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)81-112
Number of pages32
JournalNatural Language Engineering
Volume21
Issue number1
Early online date11 Sep 2013
DOIs
DateAccepted/In press - 4 Aug 2013
DateE-pub ahead of print - 11 Sep 2013
DatePublished (current) - 1 Jan 2015

Abstract

We present a methodology for the extraction of narrative information from a large corpus. The key idea is to transform the corpus into a network, formed by linking the key actors and objects of the narration, and then to analyse this network to extract information about their relations. By representing information into a single network it is possible to infer relations between these entities, including when they have never been mentioned together. We discuss various types of information that can be extracted by our method, various ways to validate the information extracted and two different application scenarios. Our methodology is very scalable, and addresses specific research needs in social sciences.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Cambridge University Press at https://www.cambridge.org/core/journals/natural-language-engineering/article/network-analysis-of-narrative-content-in-large-corpora/7B1FFB891E8B3751016B2AE46FCF76C1 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 710 KB, PDF document

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