title: Text Mining-based Economic Activity Estimation
abstract: This paper outlines a methodology for constructing a highfrequency indicator of economic activity in Russia. News stories from internet resources are used as data sources. News data is analysed using text mining and machine learning methods, which, although developed only relatively recently, have quickly found wide application in scientific research, including economic studies. This is because news is not only a key source of information but a way to gauge the sentiment of journalists and surve
journal: Russian Journal of Money and Finance