Using Texcavator to Map Public Discourse
In this article, Jaap Verheul, Toine Pieters, and Joris van Eijatten (Utrecht University) discuss the text mining tool Texcavator that they use in the Translantis research project, in order to map the emergence of the United States as a reference culture in the Netherlands between 1895 and 1995. Texcavator enables a fine grained analysis of large-scale document collections by using innovative text mining methodologies. It integrates a range of analytical tools such as concept clustering, sentiment mining, and Named Entity Recognition, to produce world clouds, time lines and other visualization... Mehr ...
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| Dokumenttyp: | Artikel |
| Erscheinungsdatum: | 2014 |
| Schlagwörter: | Nederlandse taal en cultuur / Geschiedenis / text mining / big data / periodicals / newspapers / reference cultures |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29137813 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://dspace.library.uu.nl/handle/1874/295455 |
In this article, Jaap Verheul, Toine Pieters, and Joris van Eijatten (Utrecht University) discuss the text mining tool Texcavator that they use in the Translantis research project, in order to map the emergence of the United States as a reference culture in the Netherlands between 1895 and 1995. Texcavator enables a fine grained analysis of large-scale document collections by using innovative text mining methodologies. It integrates a range of analytical tools such as concept clustering, sentiment mining, and Named Entity Recognition, to produce world clouds, time lines and other visualizations on-the-fly.