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Insbesondere die Analyse einer Vielzahl an wissenschaftlichen Publikationen ist mit manuellen T\u00e4tigkeiten verbunden, die in der Regel nur sehr zeitaufwendig umzusetzen sind. Um diesem Aufwand entgegenzuwirken, existieren unterschiedliche Methoden der deskriptiven Berechnung und des maschinellen Lernens, die zur Unterst\u00fctzung einer wissenschaftlichen Literaturauswertung eingesetzt werden k\u00f6nnen. In diesem Zusammenhang kann Keyword Extraction genutzt werden, um Schl\u00fcsselw\u00f6rter von Texten automatisiert zu erkennen. In diesem Beitrag wird vorgestellt, wie Keyword Extraction zur Unterst\u00fctzung einer wissenschaftlichen Literaturauswertung zum Thema \u201eEmpfehlungssysteme\u201c eingesetzt werden kann.<\/jats:p>","DOI":"10.1365\/s40702-022-00909-1","type":"journal-article","created":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T16:03:56Z","timestamp":1666627436000},"page":"1312-1327","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Extraktion und Analyse von Schl\u00fcsselw\u00f6rtern f\u00fcr eine automatisierte Literaturauswertung zum Thema Empfehlungssysteme","Extraction and analysis of keywords for an automated literature review on the topic of recommender systems"],"prefix":"10.1365","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6736-7040","authenticated-orcid":false,"given":"Thomas","family":"Barton","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Peuker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"93","published-online":{"date-parts":[[2022,9,22]]},"reference":[{"key":"909_CR4","unstructured":"Association of Computing Machinery (ACM) (2022) ACM Digital Library. https:\/\/dl.acm.org. 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