Analýza vyjádření politiků

Abstract

The aim of this thesis is to design and implement a web application that will enable the analysis of Czech politicians' posts on social networks and then visualize the results. The analysis will be performed using statistical methods, natural language processing methods and network analysis. The posts will be analysed from several different perspectives and the results will show how politicians expressed themselves in their posts, whether they were positive or negative, what emotions prevailed, the content of their posts or their style. Relationships and dependencies between politicians will also be identified based on the similarity of their contributions.