Text Embeddings

Nada Lavrač, Vid Podpečan and Marko Robnik-Šikonja
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Nada Lavrač: Jožef Stefan Institute, Department of Knowledge Technologies
Vid Podpečan: Jožef Stefan Institute, Department of Knowledge Technologies
Marko Robnik-Šikonja: University of Ljubljana, Faculty of Computer and Information Science

Chapter Chapter 3 in Representation Learning, 2021, pp 55-82 from Springer

Abstract: Abstract Text embeddings are a subfield of data representation, studying different numerical text representations, from sparse to dense, and different embedding techniques, from matrix factorization to deep neural approaches.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-68817-2_3

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DOI: 10.1007/978-3-030-68817-2_3

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