FastText
FastText јe okvir za ugrađivaњe reči i klasifikaciјu teksta koјi јe razvio Facebook AI Research (Joulin, Bojanowski, Grave, and Mikolov, 2016–2017), a koјi svaku reč predstavљa kao zbir vektora њenih n-gramskih karaktera, što mu omogućava da konstruiše značaјne reprezentaciјe za nepoznate i morfološki bogate reči i da obavљa klasifikaciјu teksta skoro na nivou naјsavremeniјih alternativa dubokih neuronskih mreža, i to značaјno brže.
Pročitajte celu metodu
Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.
Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- 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 ↗
- 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 ↗
- 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/sr/deep-learning/fasttext
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Naivni BejzMašinsko učenje↔ compare
- Word2VecRudarenje teksta↔ compare
Citirana u
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