Abstract
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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 59-65 |
| Number of pages | 7 |
| Journal | TS: Tijdschrift voor Tijdschriftstudies |
| Volume | 2014 |
| Issue number | 35 |
| Publication status | Published - Jul 2014 |
Keywords
- text mining
- big data
- periodicals
- newspapers
- reference cultures