NUMEXCO: A Text Mining Approach to Thematic Analysis of a Philosophical Corpus | Zendy

Dominic Forest | Zendy; Jean-Guy Meunier | Zendy

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NUMEXCO: A Text Mining Approach to Thematic Analysis of a Philosophical Corpus

Author(s) -

Dominic Forest,

Jean-Guy Meunier

Publication year - 2005

Publication title -

digital studies / le champ numérique

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.14

H-Index - 2

ISSN - 1918-3666

DOI - 10.16995/dscn.247

Subject(s) - computer science , thematic analysis , software , thematic map , modular design , data science , corpus linguistics , natural language processing , artificial intelligence , sociology , qualitative research , social science , programming language , cartography , geography

In this paper, we present the results of a research in which our main objective was to explore text mining techniques in their application to thematical analysis of philosophical corpus. In the first part, we present the software (Numexco) used in our experiment, focusing on the modular approach of the software. The second part presents the results obtained when we applied Numexco to the thematical analysis of Descartes' Discours de la methode and his Meditations metaphysiques . This paper also demonstrates how this computer assisted technology can allow the user to rapidly identify, explore and navigate through the different themes found in humanities texts.

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