Words to Numbers
Organizational Economics | Academic Year 2022/2023
Extracting Information from Unstructured Text
When studying economic questions empirically, we often need to find numeric measures for constructs such as culture, trust, individual traits, strength of institutions, etc. However, most human interaction is not numeric, but verbal. Only recently, computer-based analytical methods have become available to study large amounts of text and speech data, in astringent, more objective way. This computer-linguistic revolution has great impact for all the social sciences, and economics in particular, because we now can apply these methods to distill complex concepts such as "trust" down to numbers.
Law, Economics and Data Science
University of Edinburgh
University of Toronto
Harvard Business School
Bank of England
25 JulTauchgang ins Archiv. Neue Fragen an alte Bestände
Workshop led by Prof. Dr. Florian Englmaier (CAS Research Group/LMU) and Dr. Julia Schreiner (CAS).
17 Jul—18 JulWords to Numbers. Using NLP Methods for Research in the Social Sciences and Humanities
Workshop led by Prof. Dr. Florian Englmaier (CAS Research Group/LMU)