I am a researcher at the University of Gothenburg. I work at a Language Technology Research Lab, Språkbanken, and for the Centre for Digital Humanities. My research focuses on computational methods for detecting changes in natural language, in particular semantic changes and lexical replacements. I am the principal investigator of Towards Computational Lexical Semantic Change Detection, a 4-year research project funded by the Swedish Research Council. I am one of the organizers of the 1st International Workshop on Computational Approaches to Historical Language Change, in conjunction with ACL2019. I also work on sentiment mining for Swedish, and text mining for the digital humanities.
Recently, I have started to think about how we can apply data science methods to large scale text to generate sustainable and representative knowledge for the humanities and social sciences.
PhD in Computer Science, 2013
University of Hannover
M.Sc. in Engineering Mathematics, 2008
Chalmers University of Technology
B.Sc. in Mathematics, 2007
University of Gothenburg
I hold a postdoc at the Centre for Digital Humanities. Here I get to experience research questions and methods needed for the Humanities.
Field of research: automatic detection of language change using textual corpora. Sentiment mining (tools and dictionaries) for Swedish. Broadly, I am interested in information extraction from diachronic textual data, historical as well as modern. I have recently taken an interest in methodological issues of using data science for the digital humanities; how should the output of data science be evaluated and how should we go from the resutl of text mining to generating knowledge in the humanities?
Computational detection of lexical and semantic change from diachronic texts.
From Collect-All Archives to Community Memories – Leveraging the Wisdom of the Crowds for Intelligent Preservation
I have the following teaching experiences
Summer Course Mathematics (MVE800) 2007
Matematik TB (LMA162) 2007