Machine learning

FastText

FastText je okvir za ugrađivanje riječi i klasifikaciju teksta koji je razvio Facebook AI Research (Joulin, Bojanowski, Grave i Mikolov, 2016. – 2017.) koji svaku riječ predstavlja kao zbroj vektora n-gramova njezinih znakova, omogućujući mu konstruiranje smislenih reprezentacija za neviđene i morfološki bogate riječi te izvođenje klasifikacije teksta blizu stanja tehnike, redovima veličine brže od alternativa temeljenih na dubokim neuronskim mrežama.

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Izvori

  1. Joulin, A., Grave, E., Bojanowski, P. & Mikolov, T. (2017). Bag of Tricks for Efficient Text Classification. In Proceedings of EACL 2017, Short Papers, pp. 427–431. ACL. DOI: 10.18653/v1/e17-2068
  2. Bojanowski, P., Grave, E., Joulin, A. & Mikolov, T. (2017). Enriching Word Vectors with Subword Information. Transactions of the Association for Computational Linguistics, 5, 135–146. DOI: 10.1162/tacl_a_00051
  3. Goldberg, Y. (2017). Neural Network Methods for Natural Language Processing. Morgan & Claypool Publishers. ISBN: 978-1-62705-298-6

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). FastText: Subword-Level Word Embeddings and Efficient Text Classification. ScholarGate. https://scholargate.app/hr/deep-learning/fasttext

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Citirana u

ScholarGateFastText (FastText: Subword-Level Word Embeddings and Efficient Text Classification). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/fasttext · Skup podataka: https://doi.org/10.5281/zenodo.20539026