Data Science: Applied Text Mining (Utrecht Summer School)
The course introduces the basic and advanced concepts and ideas in text mining and natural language processing. 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, and students
The Digital Humanities Lab develops digital toolset for major European research project ‘People and Parliament’
The Utrecht Digital Humanities Lab will collaborate with the University of Jyväskylä (Finland) on the political-historical research project ‘People and Parliament’. This collaboration between software developers and historians enables groundbreaking research into parliamentary data. ‘People and Parliament’ is an ambitious project. The research focuses on the use of political language in the national parliaments of
Seminar: Turning words to numbers: Pre-processing text data for text mining
Digital Humanities Lab Lecture series on Text Mining (2/5) organised by the focus area Applied Data Science.
Footprinter, a tool for the analysis of the Oceans of Light corpus
Footprinter is designed to discover the Qur’an citations in this corpus of legal texts.