Mining for associated words in philosophical texts

Paul Ziche; Dirk van Miert; Peter Sperber; Timmy de Goeij; Tom Giesbers; Daniel Meijer

Mining for associated words in philosophical texts

Paul Ziche, Dirk van Miert, Peter Sperber, Timmy de Goeij, Tom Giesbers, Daniel Meijer

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	215-231
Number of pages	17
Journal	Schelling Studien: Internationale Zeitschrift zur klassischen deutschen Philosophie
Volume	2
Issue number	1
Publication status	Published - 2014

Keywords

German idealism, digital humanities, text mining

Cite this

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title = "Mining for associated words in philosophical texts",

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AU - Meijer, Daniel

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Mining for associated words in philosophical texts

Abstract

Keywords

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