Nina Tahmasebi

My research primarily concerns the computational study of lexical semantic change. I am the PI of an RJ-funded research program “Change is Key!”, a 6-year program where we will develop computational methods for detecting language change to facilitate the study of contemporary and historical societies. The program, due to start in 2022, has a total of 11 researchers and one research engineer with partners from IMS Stuttgart, Queen Mary University of London, University of Lund, Institute for Analytical Sociology (IAS) Linköping University, KU Leuven, and University of Gothenburg. I am also the PI for the research project “Towards Computational Lexical Semantic Change Detection”, a project in which the developed state-of-the-art methods for detecting lexical semantic change, combined with robust evaluation, and application to other fields that might benefit from the results. I take a particular interest in data science for the humanities; how can we make use of current AI/data science methods to answer (the often highly complex) research questions that stem from the humanities. What are current possibilities and limitations, and how do we move past them? I teach statistics for the humanities, and lead a study circle on data science and AI for the humanities for researchers at the faculty. I worked 2 years at the Center for Digital Humanities (CDH) at the University of Gothenburg. My work at Språkbanken includes sentiment analysis and the creation of sentiment lexica, argument mining, large-scale NLP for historical texts. Find out more on Språkbankens personalsidor.