
Natural Language Processing
A Textbook with Python Implementation
- Publisher's listprice EUR 80.24
-
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 2 723 Ft off)
- Discounted price 31 314 Ft (29 823 Ft + 5% VAT)
34 037 Ft
Availability
Out of print
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2024
- Publisher Springer
- Date of Publication 15 November 2023
- Number of Volumes 1 pieces, Book
- ISBN 9789819919987
- Binding Hardback
- No. of pages437 pages
- Size 235x155 mm
- Weight 869 g
- Language English
- Illustrations 1 Illustrations, black & white 0
Categories
Short description:
3 ? Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13. Workshop
MoreLong description:
This 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.1 ? Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11. Workshop More
Table of Contents:
Part I ? Concepts and Technology.- Chapter 1. Introduction to Natural Language Processing.- Chapter 2. N-gram Language Model.- Chapter 3. Part-of-Speech Tagging.- Chapter 4. Syntax and Parsing.- Chapter 5. Meaning Representation.- Chapter 6. Semantic Analysis.- Chapter 7. Pragmatic Analysis and Discourse.- Chapter 8. Transfer Learning and Transformer Technology.- Chapter 9. Major Natural Language Processing Applications.- Part II ?Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10. Workshop
More
Natural Language Processing: A Textbook with Python Implementation
Subcribe now and receive a favourable price.
Subscribe
34 037 HUF