Abstract
Clustering is one of the important stages of preliminary data analysis. It allows you to find patterns in them, to identify existing groups. For concert and theatre events, there are, as a rule, text data, such as: description of the event, name, etc. This article discusses the cluster analysis of events using their textual description. Using only text data, the resulting solution allows you to get a sufficient number of clusters. The results of the study can be useful, in particular, for development a recommendation system of concert and theater events.
Published Version
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