The focus is on text analysis using the popular scripting language Python, which is rapidly becoming the standard programming language for computational text analysis in digital Humanities.
Covered topics include: basic text processing tasks; using text-mining toolkits such as Pattern and NLTK; applications of text processing (e.g., sentiment mining, topic classification, automatic clustering); XML parsing (e.g., TEI-XML) in Python.
For the workshop, the instructors will make use of a so-called Python notebook – a successful and engaging teaching format. Python notebooks are a course book and coding ‘sandbox’ at once. Experience with previous EADH and DARIAH-DE Summer Schools in Nijmegen and Göttingen has shown that this format is extremely engaging for researchers who have had no significant exposure to digital methods yet.
The DHBenelux conference welcomes contributions and participants from all areas of research and teaching in Digital Humanities. While the conference has a focus on recent advances in Belgium, The Netherlands, and Luxembourg, we do warmly welcome contributions from outside the Benelux. The language of the conference is international English. We hope that we may welcome many scholars to the European scientific meeting platform that DHBenelux will constitute in summer 2015 for the Digital Humanities.
This three-day workshop will take place from 10 to 12 June 2015 at the University of Antwerp, Belgium, following the DHBenelux 2015 conference hosted at the same location. It offers the perfect opportunity for the conference’s participants (and other interested scholars) to learn how to visualize their data in interesting new ways.
The workshop will be taught by the developers of NodeBox, a data visualization tool created by the Experimental Media Research Group (EMRG). EMRG is a cross domain research group associated with the St. Lucas University College of Arts and Design (Antwerp, Belgium). During the workshop, participants will learn how to capture, prepare, refine and visualize their data; gain insights in the theory of data visualisation; and start to look at data in a different way.