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Text Embeddings

In: Representation Learning

Author

Listed:
  • Nada Lavrač

    (Jožef Stefan Institute, Department of Knowledge Technologies
    University of Nova Gorica, School of Engineering and Management)

  • Vid Podpečan

    (Jožef Stefan Institute, Department of Knowledge Technologies)

  • Marko Robnik-Šikonja

    (University of Ljubljana, Faculty of Computer and Information Science)

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.

Suggested Citation

  • Nada Lavrač & Vid Podpečan & Marko Robnik-Šikonja, 2021. "Text Embeddings," Springer Books, in: Representation Learning, chapter 0, pages 55-82, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-68817-2_3
    DOI: 10.1007/978-3-030-68817-2_3
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