Digital Content Analysis for Social Science

This module will combine lecture and hands-on learning to teach students how to use digital content analysis in their research. It will cover techniques of text analysis, including designing the appropriate anaylsis approach for particular research projects and available text corpora. Basic techniques such as Wordfish, dictionary models, and word frequency analysis will be covered first. We will then move on to advanced subjects such as unsupervised and supervised topic models and an introduction to using neural nets to classify digital texts using custom models. It will also cover the use of pre-existing models such as emotion and sentiment detection models, and an introduction to automated techniques for analyzing images. We will mainly be using Python. 

Påmelding: SAMPOL908 Application form for PhD-course Digital Content Analysis for Social Science 2025