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International Studies in Phenomenology and Philosophy

Series | Book | Chapter

226322

Elements of a corpus semantics for humanities

application to the classification of subjective texts

Mathieu Valette

pp. 141-150

Abstract

This article aims to review a possible contribution of corpus semantics to digital humanities, relying on an example of text profiling and text mining based on data from the social Web. We will focus, in particular, on the expression of contrasting values and points of view, allowing us to develop the concept of "agonist". First, we sketch out a critical overview of the relationship between NLP and semantics. Then we quickly outline how to provide text mining tools to corpus semantics. Finally, we illustrate our discussion with an example from applications. We wish, in particular, to highlight the potential benefit of a methodological dialogue between theory (text semantics), textometric methods and current NLP practices in terms of algorithms but, above all, evaluation.

Publication details

Published in:

Compagno Dario (2018) Quantitative semiotic analysis. Dordrecht, Springer.

Pages: 141-150

DOI: 10.1007/978-3-319-61593-6_7

Full citation:

Valette Mathieu (2018) „Elements of a corpus semantics for humanities: application to the classification of subjective texts“, In: D. Compagno (ed.), Quantitative semiotic analysis, Dordrecht, Springer, 141–150.