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Distributional Concept Analysis

Accepted version
Peer-reviewed

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Type

Article

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Authors

DE BOLLA, PETER 
JONES, EWAN 
NULTY, PAUL 
RECCHIA, GABRIEL 
REGAN, JOHN 

Abstract

jats:pThis article proposes a novel computational method for discerning the structure and history of concepts. Based on the analysis of co-occurrence data in large data sets, the method creates a measure of “binding” that enables the construction of verbal constellations that comprise the larger units, “concepts,” that change over time. In contrast to investigation into semantic networks, our method seeks to uncover structures of conceptual operation that are not simply semantic. These larger units of lexical operation that are visualized as interconnected networks may have underlying rules of formation and operation that have as yet unexamined—perhaps tangential—connection to meaning as such. The article is thus exploratory and intended to open the history of concepts to some new avenues of investigation.</jats:p>

Description

Keywords

4605 Data Management and Data Science, 46 Information and Computing Sciences

Journal Title

Contributions to the History of Concepts

Conference Name

Journal ISSN

1807-9326
1874-656X

Volume Title

14

Publisher

Berghahn Books
Sponsorship
Foundation for the Future