Python for Natural Language Processing
- Regular price
- $79.00
- Sale price
- $79.00
- Regular price
-
Change of Mind Returns accepted within 7 days of delivery. Customer provides return shipping.
Items must be returned in their original packaging and in the same condition as received. If the item does not meet our return condition policy, a full refund may not be issued.
Expect prompt delivery and easy tracking — every order comes with updates along the way.
About the Product
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing.
As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text.Using Python notebooks, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possibly modifying the code or the parameters, and traverse theories and concrete problems through a constant interaction between the user and the machine. The data sizes and hardware requirements are kept to a reasonable minimum so that a user can see instantly, or at least quickly, the results of most experiments on most machines.
The book does not assume a deep knowledge of Python, and an introduction to this language aimed at Text Processing is given in Ch. 2, which will enable the reader to touch all the programming concepts, including NumPy arrays and PyTorch tensors as fundamental structures to represent and process numerical data in Python, or Keras for training Neural Networks to classify texts. Covering topics like Word Segmentation and Part-of-Speech and Sequence Annotation, the textbook also gives an in-depth overview of Transformers (for instance, BERT), Self-Attention and Sequence-to-Sequence Architectures.
Format: Hardcover
Language: English
Book Title: Python for Natural Language Processing
Author: Pierre M. Nugues
Returns & Exchanges
Check Your Order Status
Visit Our Support Center
Price-Match Guarantee
Shipping
Order processing typically takes 1–2 business days before shipping. Once your order has been processed, you’ll receive a confirmation and tracking information.
Yes, changes can be made if the order hasn’t entered processing. Make sure to update your order details promptly after purchase.
Yes, international shipping is available. Delivery times and costs vary based on your location and selected shipping method.
Yes, all data is encrypted and processed securely to protect your privacy.
returns & refund
You can return most items within 30 days of delivery for a full refund or exchange.
Refunds are usually processed within 5-7 business days after we receive your returned item.