Research Article
Natural Language Processing in Arts Management
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.
Keywords
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Keywords
- aesthetics
- higher education
- career, professional role
- audience studies
- Business
- digitalization, digitization
- diversity
- empirical aesthetics
- development, transformation
- ethics
- Evaluation
- festival
- film
- social change
- ideology
- staging
- communication
- Concert
- creativity
- arts organizations, cultural organizations
- fincancing the arts
- cultural history
- cultural economy
- cultural policy
- cultural sociology
- audience development, art education
- arts administration, arts management
- cultural industry
- cultural sciences
- art
- arts research
- curating
- artists
- leadership
- management
- marketing
- market
- media
- methods development
- museum
- music
- opera
- orchestra
- organization
- law
- community arts
- state
- urbanism
- dance
- theater
- theory development
- tourism
- civil society, third sector