Clustering of concert and theater events based on their description

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 e...

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Bibliographic Details
Published inProcedia computer science Vol. 213; pp. 673 - 679
Main Authors Malynov, Andrey, Prokhorov, Igor
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2022
Subjects
Clustering
Concert events
FastText
Machine learning
Recommender system
Text data
Vector representations of words
Vector representations of words
Machine learning
Text data
Clustering
Recommender system
FastText
Concert events
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.11.120