Textual Emigration Analysis (TEA)

Andre Blessing, Jonas Kuhn


Abstract
We present a web-based application which is called TEA (Textual Emigration Analysis) as a showcase that applies textual analysis for the humanities. The TEA tool is used to transform raw text input into a graphical display of emigration source and target countries (under a global or an individual perspective). It provides emigration-related frequency information, and gives access to individual textual sources, which can be downloaded by the user. Our application is built on top of the CLARIN infrastructure which targets researchers of the humanities. In our scenario, we focus on historians, literary scientists, and other social scientists that are interested in the semantic interpretation of text. Our application processes a large set of documents to extract information about people who emigrated. The current implementation integrates two data sets: A data set from the Global Migrant Origin Database, which does not need additional processing, and a data set which was extracted from the German Wikipedia edition. The TEA tool can be accessed by using the following URL: http://clarin01.ims.uni-stuttgart.de/geovis/showcase.html
Anthology ID:
L14-1007
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2089–2093
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1009_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Andre Blessing and Jonas Kuhn. 2014. Textual Emigration Analysis (TEA). In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2089–2093, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Textual Emigration Analysis (TEA) (Blessing & Kuhn, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1009_Paper.pdf