Studying Ideational Change in Russian Politics with Topic Models and Word Embeddings

Abstract

This chapter applies computational methods of textual analysis to a large corpus of media texts to study ideational change. The empirical focus of the chapter is on the ideas of the political role of innovation, technology, and economic development that were introduced into Russian politics during Medvedev’s presidency. The chapter uses topic modeling, shows the limitations of the method, and provides a more nuanced analysis with the help of word embeddings. The latter method is used to analyze semantic change and to capture complex semantic relationships between the studied concepts.