In this study, we construct a sentiment dictionary for the macroeconomic domain and present its applications. Our dictionary contains words selected by several economists from a corpus of newspaper articles on topics related to the economy. This was supplemented with additional words by using supervised learning. We use our sentiment dictionary to construct a daily business cycle index designed to capture the current state of the economy in a timely manner.