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
Publisher / Ed. Institution : Transcript
Issue Date: 2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (publication)
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.
Departement: School of Management and Law
Organisational Unit: Center for Arts Management (ZKM)
Publication type: Article in scientific journal
DOI : 10.14361/zkmm-2019-0107
ISSN: 2363-5533
2363-5525
URI: https://digitalcollection.zhaw.ch/handle/11475/18445
Appears in Collections:Publikationen School of Management and Law

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.