Mining for associated words in philosophical texts

Publication date

2014

Authors

Ziche, P.G.ISNI 0000000106304409
van Miert, D.K.W.ORCID 0000-0002-5460-4075ISNI 0000000071008414
Sperber, P.ISNI 0000000443834718
de Goeij, TimmyISNI 0000000436407742
Giesbers, TomISNI 0000000493300239
Meijer, Daniel

Editors

Advisors

Supervisors

DOI

Document Type

Article

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Abstract

This paper discusses the application of a semantic search algorithm, “ANNH: Associative Neural Networks for the Humanities”, to the corpora of Schelling’s writings and that of other philosophers. Particular attention is paid to issues of interpretation that result from applying this search technology. The ANNH-technology is also analyzed with a view to the broader context of issues arising in the context of the Digital Humanities.

Keywords

German idealism, digital humanities, text mining, General Arts and Humanities

Citation

Ziche, P, van Miert, D, Sperber, P, de Goeij, T, Giesbers, T & Meijer, D 2014, 'Mining for associated words in philosophical texts', Schelling Studien: Internationale Zeitschrift zur klassischen deutschen Philosophie, vol. 2, no. 1, pp. 215-231.