Network analysis of narrative content in large corpora

Saatviga Sudhahar, Gianluca De Fazio, Roberto Franzosi, Nello Cristianini

Research output: Contribution to journalArticle (Academic Journal)peer-review

15 Citations (Scopus)
602 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)81-112
Number of pages32
JournalNatural Language Engineering
Volume21
Issue number1
Early online date11 Sep 2013
DOIs
Publication statusPublished - 1 Jan 2015

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