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ERKENNUNG ANSTÖSSIGER SPRACHE DURCH TEXT-KLASSIFIZIERUNG

ERKENNUNG ANSTÖSSIGER SPRACHE DURCH TEXT-KLASSIFIZIERUNG

Naseem Khayum / Patan Fiza Banu

70,83 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Redes y comunicaciones informáticas
ISBN:
9786208781866
70,83 €
IVA incluido
Disponible

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Sobre IBD

In diesem Buch schlagen wir eine modulare Textklassifizierungspipeline für Social-Media-Datensätze mit Schwerpunkt auf Twitter vor. Unser vorgeschlagener Ansatz besteht darin, eine modulare Entwicklung zu nutzen, die eine einfache Kombination verschiedener Textklassifizierungskomponenten ermöglicht. Der Hauptbeitrag dieser Arbeit besteht darin, dass sie eine neue modulare Textklassifizierungspipeline vorstellt, um das Benchmarking zu erleichtern, indem sie eine detaillierte analytische Studie der leistungsstärksten Ansätze, Merkmale und Einbettungen durchführt, die vom Stand der Technik berichtet werden.

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Otros libros del autor

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    Naseem Khayum / Patan Fiza Banu
    In questo libro proponiamo una pipeline modulare di classificazione del testo su dataset di social media, con particolare attenzione a Twitter. L’approccio proposto è quello di sfruttare uno sviluppo modulare che consente di combinare facilmente diversi componenti di classificazione del testo. Il principale contributo di questo lavoro è la presentazione di una nuova pipeline mo...
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    Neste livro, propomos um pipeline de classificação de texto modular em conjuntos de dados de redes sociais com foco no Twitter. A nossa abordagem proposta consiste em tirar partido de um desenvolvimento modular que permite uma utilização fácil para combinar diferentes componentes de classificação de texto. A principal contribuição deste trabalho é o facto de apresentar um novo ...
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    Dans ce livre, nous proposons un pipeline modulaire de classification de texte sur des ensembles de données de médias sociaux, en particulier sur Twitter. L’approche que nous proposons consiste à tirer parti d’un développement modulaire qui permet de combiner facilement différents composants de classification de texte. La principale contribution de ce travail est qu’il présente...
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    W tej książce proponujemy modułowy potok klasyfikacji tekstu na zbiorach danych mediów społecznościowych, koncentrując się na Twitterze. Proponowane przez nas podejście polega na wykorzystaniu modułowego rozwoju, który pozwala na łatwe łączenie różnych komponentów klasyfikacji tekstu. Głównym wkładem tej pracy jest przedstawienie nowego modułowego potoku klasyfikacji tekstu w c...
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    In this book, we propose a modular text classification pipeline on social media datasets focusing on Twitter. Our proposed approach is to leverage a modular development that allows easy use for combining different text classification components. This work’s main contribution is that it presents a new modular text classification pipeline to facilitate benchmarking by conducting ...
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