In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with machine learning and deep learning algorithms. The course has a strongly practical hands-on focus.

SEMANTiCS is an established knowledge hub where technology professionals, industry experts, researchers and decision makers can learn about new technologies, innovations and enterprise implementations in the fields of Linked Data...

Situated in the emerging interdisciplinary research focus area of digital migration studies, this talk probes how researchers can care for data. Drawing on critical and feminist  theories of care, I...

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In this presentation Mirko Schaefer and Mel Chekol speak about their inquiry into forms of bias in Wikipedia’s main knowledge repository Wikidata. Using descriptive statistics they identified skewed data which are caused by different forms of bias.

In this presentation, Dirk van Miert and Liliana Melgar demonstrate, with practical examples and hands-on activities, how to search simultaneously in a large number of digitized texts (captured from Google Books and other online sources).

Dr. Berit Janssen and Jelte van Boheemen (developers Digital Humanities Lab) will offer an I-Analyzer workshop on 8 November 2021 at 1.00 PM. Participants are given an overview of how text corpora are processed in order to be used in I-Analyzer, and how to search, filter and visualize results. 

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In this workshop, you will learn how to work with OpenRefine (previously Google Refine), a powerful tool for working with messy data: cleaning it; transforming it from one format into...