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.