Natural Language Processing in Arts Management

Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, D. Betzler
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引用次数: 1

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.
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艺术管理中的自然语言处理
自然语言处理(NLP)为艺术管理的实践和研究开辟了新的可能性。本文介绍了自然语言处理的典型研究过程,并介绍了情感分析、作者分析、命名实体识别、主题建模和趋势检测等最重要的方法和技术。利用最近的研究成果和新的说明性例子,我们描述了NLP在艺术管理中的可能性和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Inhalt Titelei Werner HASITSCHKA: Kulturbetriebslehre. Zur Dialektik von Kultur und Organisation Auf der Suche nach ‚Cultural Leadership‘ Das identitätsorientierte Cultural Leadership- Verständnis und seine Bedeutung für die Kulturmanagementpraxis
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