| 000 | 01821 a2200229 4500 | ||
|---|---|---|---|
| 008 | 250302b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789819920013 | ||
| 082 | _a006.35 LEE | ||
| 100 | _aLee, Raymond S. T. | ||
| 245 | _aNatural language processing: a textbook with Python implementation | ||
| 260 |
_aSingapore: _bSpringer Nature, _c2024. |
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| 300 |
_axxxii, 437p.: _bcol. ill.; pbk.: _c24 cm. |
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| 504 | _aIncludes Bibliographical References and Index | ||
| 520 | _aThis textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops. https://link.springer.com/book/10.1007/978-981-99-1999-4 | ||
| 650 | _aNatural Language Processing (NLP) | ||
| 650 | _a Artificial Intelligence | ||
| 650 | _a Computational Intelligence | ||
| 650 | _aMachine Learning | ||
| 650 | _a Python | ||
| 650 | _a Data Structures and Information Theory | ||
| 942 |
_cTD _2ddc |
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| 999 |
_c62050 _d62050 |
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