Experiments with language combinatorics in text classification: lessons learned and future
implications
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Experiments with language combinatorics in text classification: lessons learned and future
implications
Data publikacji: 22.11.2017
Czasopismo Techniczne, 2017, Volume 11 Year 2017 (114), s. 183 - 197
https://doi.org/10.4467/2353737XCT.17.199.7428Autorzy
Experiments with language combinatorics in text classification: lessons learned and future
implications
W niniejszym artykule przedstawiono metaanalizę badań przeprowadzonych za pomocą kombinatoryki językowej (language combinatorics, LC), nowej metody generacji modelu języka i ekstrakcji cech, opartej o kombinacyjne manipulacje na elementach zdań (np. słowa). W trakcie ostatnich lat LC została zastosowana do wielu zadań z dziedziny klasyfikacji tekstu, takich jak analiza afektu, wykrywanie cyberagresji lub ekstrakcja odniesień do przyszłych wydarzeń. W niniejszym artykule podsumowujemy dwa z najbardziej obszernych doświadczeń i omawiamy ogólne implikacje dotyczące przyszłych zastosowań kombinatoryjnego modelu języka.
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Informacje: Czasopismo Techniczne, 2017, Volume 11 Year 2017 (114), s. 183 - 197
Typ artykułu: Oryginalny artykuł naukowy
Tytuły:
Experiments with language combinatorics in text classification: lessons learned and future
implications
Experiments with language combinatorics in text classification: lessons learned and future
implications
Department of Computer Science Kitami Institute of Technology, Japan
Department of Computer Science Kitami Institute of Technology, Japan
Publikacja: 22.11.2017
Status artykułu: Otwarte
Licencja: Żadna
Udział procentowy autorów:
Korekty artykułu:
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AngielskiLiczba wyświetleń: 1532
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