Text, Fractal Dust and Informational Granularity: A Study of Scale

ARMASELU, Florentina

doi:10.1515/9783111317779-012

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Text, Fractal Dust and Informational Granularity: A Study of Scale

ARMASELU, Florentina

2023 • In ARMASELU, Florentina; FICKERS, Andreas (Eds.) Zoomland: Exploring Scale in Digital History and Humanities

Editorial reviewed

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https://hdl.handle.net/10993/59507

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10.1515/9783111317779-012

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Keywords :

scalable text; topic modelling; fractal geometry; informational granularity; digital hermeneutics

Abstract :

[en] This chapter proposes a method of text analysis that combines conceptual aspects from the model of scalable or zoomable text (z-text), topic modelling and fractal geometry. It argues that this type of methodology may assist in detecting different levels of generality and specificity in texts and reveal some characteristics of the assemblage of blocks of text, above the word level, at different scales of representation. Applications of such an approach can range from hermeneutics and discourse analysis to text (and possibly z-text) generation and summarization.

Research center :

Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)

Disciplines :

Arts & humanities: Multidisciplinary, general & others

Author, co-author :

ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography

External co-authors :

Language :

English

Title :

Text, Fractal Dust and Informational Granularity: A Study of Scale

Publication date :

18 December 2023

Main work title :

Zoomland: Exploring Scale in Digital History and Humanities

Editor :

ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography

FICKERS, Andreas ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography

Publisher :

De Gruyter

ISBN/EAN :

978-3-11-131777-9

Collection name :

Studies in Digital History and Hermeneutics

Collection ISSN :

2629-4540

Pages :

287-333

Peer reviewed :

Editorial reviewed

Focus Area :

Computational Sciences

Additional URL :

https://www.degruyter.com/document/doi/10.1515/9783111317779-012/xml

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since 09 January 2024

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