Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Natural language processing in arts management
Authors : Cieliebak, Mark
Benites de Azevedo e Souza, Fernando
Leuschen, Lara
Hnizda, Michaela
Betzler, Diana
et. al : No
Published in : Zeitschrift für Kulturmanagement
Volume(Issue) : 5
Issue : 1
Pages : 119
Pages to: 142
Issue Date: 2019
Publisher / Ed. Institution : Transcript
ISSN: 2363-5533
Language : English
Subject (DDC) : 306: Culture
Abstract: Natural Language Processing (NLP) opens up new possibilities for arts management in practice and research. This article introduces the typical research process of NLP and presents the most important methods and techniques like Sentiment Analysis, Author Profiling, Named Entity Recognition, Topic Modeling and Trend Detection. Using recent research results and new illustrative examples, we describe the possibilities and limitations of NLP for arts management.
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
School of Management and Law
Organisational Unit: Institute of Applied Information Technology (InIT)
Center for Arts Management (ZKM)
Appears in Collections:Publikationen School of Management and Law

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