BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Mastering Text Classification
Cutting-Edge NLP Techniques
Springer
ISBN 978-3-031-93611-1
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
15 s/w-Abbildungen, 36 Farbabbildungen.
In englischer Sprache
Umfang: vii, 142 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-93611-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Signals and Communication Technology
Produktbeschreibung
This book provides cutting-edge natural language processing (NLP) techniques to unlock the power of text data. It presents advanced methods for various text classification tasks, like discourse relation classification, classification in large taxonomies, and leveraging disagreement between annotators for text classification.
This book equips readers whether they are researchers or professionals, looking to apply NLP in real-world settings, with the latest advancements, and gives them the opportunity to explore techniques to handle limited data, and harness the power of pre-trained language models like BERT. By the end, readers will be equipped to tackle specific text classification challenges and advance the field of NLP.
This book equips readers whether they are researchers or professionals, looking to apply NLP in real-world settings, with the latest advancements, and gives them the opportunity to explore techniques to handle limited data, and harness the power of pre-trained language models like BERT. By the end, readers will be equipped to tackle specific text classification challenges and advance the field of NLP.
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