A survey of text representation methods and their genealogy

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dc.contributor.authorSiebers, Philipp
dc.contributor.authorJaniesch, Christian
dc.contributor.authorZschech, Patrick
dc.date.accessioned2022-09-29T13:21:05Z
dc.date.available2022-09-29T13:21:05Z
dc.date.issued2022-09-12
dc.description.abstractIn recent years, with the advent of highly scalable artificial-neural-network-based text representation methods the field of natural language processing has seen unprecedented growth and sophistication. It has become possible to distill complex linguistic information of text into multidimensional dense numeric vectors with the use of the distributional hypothesis. As a consequence, text representation methods have been evolving at such a quick pace that the research community is struggling to retain knowledge of the methods and their interrelations. We contribute threefold to this lack of compilation, composition, and systematization by providing a survey of current approaches, by arranging them in a genealogy, and by conceptualizing a taxonomy of text representation methods to examine and explain the state-of-the-art. Our research is a valuable guide and reference for artificial intelligence researchers and practitioners interested in natural language processing applications such as recommender systems, chatbots, and sentiment analysis.en
dc.identifier.urihttp://hdl.handle.net/2003/41085
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22932
dc.language.isoende
dc.relation.ispartofseriesIEEE access / Institute of Electrical and Electronics Engineers;Bd 10. 2022, Art. Nr. 96492-96513
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial neural networksen
dc.subjectGenealogyen
dc.subjectNatural language processingen
dc.subjectSurveyen
dc.subjectTaxonomyen
dc.subjectText representationen
dc.subject.ddc004
dc.subject.rswkNeuronales Netzde
dc.subject.rswkGenealogiede
dc.subject.rswkNatürliche Sprachede
dc.subject.rswkUmfragede
dc.subject.rswkTaxonomiede
dc.subject.rswkWissensrepräsentationde
dc.titleA survey of text representation methods and their genealogyde
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationIEEE access / Institute of Electrical and Electronics Engineers. Bd 10. 2022, Art. No 96492-96513de
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1109/ACCESS.2022.3205719de

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