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Introducing software for analysing digital texts – Orange

Introducing software for analysing digital texts – Orange In-Person

Introducing software for analysing digital texts

In a series of two short courses, we introduce three different text analysing software primarily to students with a background from humanities, theology and social science. We do this because many students with these backgrounds may, naturally enough, not have an interest in spending time learning to code, but still they can see a great value in understanding some of the principle concepts of digital text analysis.      

Sign up for both courses and gain the greatest insight or just for a single course and learn a lot anyway, and ... (whispering) … if you only have time for one of the two courses, go with the Orange course - it's a really cool, new program.

Introducing software for analysing digital texts – Orange

Orange is a new, power full, open-source data mining suite that provides a wide range of opportunities to the digital humanist that would not spend time coding algorithms from scrats. We felt flat, when we saw it for the first time. It is developed at University of Ljubljana, Slovenia, and besides its superb and incomparable functionality it is very well documented compared to other open source products.

With Orange, users can use own data (both text and images) or, and this is the brilliant part, scrape data from for example Twitter, The Guardian, NY Times, or Wikipedia without coding at all.

Orange provides you with a large set of data mining tools for processing, embedding, analysing and visualising, and by connecting different tools users can create complex data mining workflows.

Related LibGuide: KUB Datalab by Christian Knudsen

13:00 - 15:00
Time Zone:
Central European Time (change)
KUB Datalab - Sdr Campus
  Analysis     Cleaning     Datalab     Harvesting     Visualisation  

Registration is required. There are 14 seats available.

Event Organizer

Profile photo of Lars Kjær
Lars Kjær

Cand. Mag. historie.


Københavns Universitetsbibliotek, KUB Datalab