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Mastering Text Classification

By Mourad Abbas

Mastering Text Classification

By Mourad Abbas

0 - Default Title
Description
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.
Product details
Number of Pages:
152
Release Date:
2025-10-12
Publication Date:
2025-10-12
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031936116
ISBN13:
9783031936111
GPSR Manufacturer Reference:
[email protected]
Weight:
399 g
Height:
160 cm
Width:
241 cm
Thickness:
14 cm
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