Learning Deep Textwork

dc.contributor.editor	Kruse, René-Marcel	de
dc.contributor.editor	Säfken, Benjamin	de
dc.contributor.editor	Silbersdorff, Alexander	de
dc.contributor.editor	Weisser, Christoph	de
dc.date.accessioned	2021-08-06T09:34:57Z
dc.date.available	2021-08-06T09:34:57Z
dc.date.issued	2021	de
dc.identifier.uri	https://doi.org/10.17875/gup2021-1608	de
dc.format.extent	VII, 166	de
dc.format.medium	Print	de
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-sa/4.0/deed.de
dc.subject.ddc	330
dc.title	Learning Deep Textwork	de
dc.title.alternative	Perspectives on Natural Language Processing and Artificial Intelligence	de
dc.type	anthology	de
dc.price.print	30,00
dc.identifier.urn	urn:nbn:de:gbv:7-isbn-978-3-86395-501-4-5
dc.description.print	Softcover, 17x24	de
dc.subject.division	surveyed	de
dc.relation.isbn-13	978-3-86395-501-4
dc.identifier.articlenumber	8102152	de
dc.identifier.intern	isbn-978-3-86395-501-4	de
dc.subject.bisac	BUS000000
dc.subject.vlb	780
dc.subject.bic	K
dc.description.abstracteng	Artificial intelligence is considered to be one of the most decisive topics in the 21st century. Deep learning algorithms, which are the basis of many artificial intelligence applications, are of central interest for researchers but also for students that strive to build up academic knowledge and practical competencies in this field. The Deep Learning Seminar at the University of Göttingen follows the central notion of the Humboldtian model of higher education and offers graduate students of applied statistics the opportunity to conduct their own research. The quality of the results motivated us to publish the most promising seminar papers in this volume. For the selected papers a review process was conducted by the lecturers. The presented contributions focus on applications of deep learning algorithms for text data. Natural language processing methods are for example applied to analyse data from Twitter, Telegram and Newspapers. The research applications allow the reader to gain deep insights into some of the latest developments in the field of artificial intelligence and natural language processing from the perspective of students of whom many will take part in shaping the future research in this field.	de
dc.notes.vlb-print	lieferbar
dc.intern.doi	10.17875/gup2021-1608	de
dc.identifier.purl	http://resolver.sub.uni-goettingen.de/purl?univerlag-isbn-978-3-86395-501-4
dc.format.chapters	-	de
dc.intern.asin	3863955013
dc.subject.thema	K	de

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