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Introducing software for analysing digital texts – Voyant Tools and LEXOS

Introducing software for analysing digital texts – Voyant Tools and LEXOS 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 – Voyant Tools and LEXOS

Voyant Tools and LEXOS is an easy to use, open-source web-based digital text analysis tools that allows users to explore, analyse and visualise smaller sets of data. Voyant Tools is developed in Canada, and LEXOS is developed in USA.

With Voyant Tools, users can upload their own text data or use text data from web pages. Once the data is loaded, users can perform a text analysis tasks, such as Term Frequency and Keyword in Context. With LEXOS you can load your own data and send them through a suitable pipeline in which your data is scrubbed and prepared to be compared.

Both programs includes large sets of visualization tools that allow users to present text data in different ways. These visualizations can help users quickly identify patterns and trends in their data.

Related LibGuide: KUB Datalab by Christian Knudsen

Date:
14/03/2023
Time:
10:00 - 12:00
Time Zone:
Central European Time (change)
Location:
KUB Datalab - Sdr Campus
Campus:
KUB Søndre Campus, Karen Blixens Plads 7, 2300 Kbh. S
Categories:
  Analysis     Datalab     Harvesting     Visualisation  

Registration is required. There are 15 seats available.

Event Organizer

Profile photo of Lars Kjær
Lars Kjær

Cand. Mag. historie.

Specialkonsulent

Københavns Universitetsbibliotek, KUB Datalab