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商品詳細
Mastering Text Classification: Cutting-Edge NLP Techniques.
・ISBN 978-3-031-93611-1 hard EUR 149.99
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| 著者・編者 | Abbas, Mourad (ed.), |
|---|---|
| シリーズ | (Signals and Communication Technology) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 142 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-9142＞ |
解説
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.