Network analysis of narrative content in large corpora

Saatviga Sudhahar · Gianluca De Fazio · Nello Cristianini

40 citations0/0 files storedNatural Language Engineering

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Computational and Text Analysis Methods Digital Humanities and Scholarship Advanced Text Analysis Techniques

Abstract

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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References

1946Attitudes and Cognitive Organization 2004The Use of Newspaper Data in the Study of Collective Action 1987The Press as a Source of Socio-Historical Data: Issues in the Methodology of Data Collection from Newspapers 2010Extracting Social Networks from Literary Fiction 2011Network Theory, Plot Analysis

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