Following the research topics of the scientific publications of a group of researchers is interesting and at the same time important for understanding the development of a scientific field and researchers working in it. The researchers do not work in the same field, therefore the topics of their work differ. Topics of the articles can be identified on the basis of words used. The thesis describes the acquisition of data on articles, their analysis and modelling of topics that they discuss. In addition, an analysis was conducted on the representation of different topics over time, which shows most frequently discussed topics in certain time periods. This system was used for the analysis of publications of the Faculty of Computer and Information Science of the University of Ljubljana.