This analysis utilizes a machine learning methodology known as topic modeling to identify and uncover thematic trends in Russian presidential speech data from 1999 to 2020.

We find that Russian presidential speeches tend to focus on domestic politics, diplomacy/trade, economics, nationalism and military/defense.

We also explore how topics change in presence across time and find that economics and nationalism have become more prominent over the past decade alongside domestic political considerations.