Natural Language Processing Book by Henry Holt – 400 Page Guide

Description

Product Overview

The Natural Language Processing Book published by Henry Holt offers a thorough 400‑page exploration of contemporary NLP methods. Written in clear English, it covers foundational concepts, modern transformer architectures, and practical implementation strategies. Detailed specifications include 400 pages, ISBN‑13 978‑1250358363, and a publication date of February 10, 2026.

Usage

Designed for academic courses, research projects, and professional development, this book serves students, data scientists, and AI engineers. Whether you are building chatbots, performing sentiment analysis, or researching language models, the content provides step‑by‑step guidance and code snippets ready for real‑world deployment.

Why Choose Us

Henry Holt’s reputation for scholarly publishing ensures rigorous editorial standards and up‑to‑date content. The book combines theoretical depth with hands‑on exercises, backed by a dedicated support portal for readers seeking clarification or additional resources. Our commitment to quality means you receive a durable paperback, accurate data, and ongoing updates through the publisher’s online platform.

Key Features

• Comprehensive coverage of NLP fundamentals and cutting‑edge techniques
• Practical code examples in Python for immediate application
• Clear explanations that bridge theory and real‑world use cases
• Durable 400‑page paperback designed for frequent reference
• Access to author‑led online support and supplemental materials

FAQ

Is prior programming experience required?

The book includes introductory sections for beginners, but familiarity with Python will help you get the most out of the hands‑on examples.

Does the book cover recent transformer models?

Yes, it provides detailed chapters on transformer architectures, BERT, GPT‑style models, and their practical implementations.

What formats are available?

Currently, the paperback edition is offered; a Kindle version is also listed in the Kindle Store rankings.

Can I use this book for a university course?

Absolutely. The structured chapters and exercise sets make it suitable as a primary textbook for undergraduate and graduate NLP courses.

Is there any supplemental online material?

Readers receive access to a companion website with code repositories, data sets, and a forum for author‑led Q&A.