Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, D. Betzler
{"title":"艺术管理中的自然语言处理","authors":"Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, D. Betzler","doi":"10.14361/zkmm-2019-0107","DOIUrl":null,"url":null,"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.","PeriodicalId":414783,"journal":{"name":"Zeitschrift für Kulturmanagement","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Natural Language Processing in Arts Management\",\"authors\":\"Mark Cieliebak, Fernando Benites, Lara Leuschen, Michaela Hnizda, D. Betzler\",\"doi\":\"10.14361/zkmm-2019-0107\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":414783,\"journal\":{\"name\":\"Zeitschrift für Kulturmanagement\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zeitschrift für Kulturmanagement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14361/zkmm-2019-0107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift für Kulturmanagement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14361/zkmm-2019-0107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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