Python

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.

Data Visualisation

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.