Natural Language Processing: A Textbook with Python Implementation – 2nd Edition (Free PDF 2025)

   

📘 Natural Language Processing: A Textbook with Python Implementation – 2nd Edition (Free PDF 2025)

👨‍🏫 Author: Raymond Lee
🏢 Publisher: Springer
📅 Published: 2025
📥 👉 DOWNLOAD PDF NOW


🧠 Your All-in-One NLP Textbook and Python Tool Guide

"Natural Language Processing: A Textbook with Python Implementation (2nd Edition)" is a modern, in-depth, and hands-on introduction to Natural Language Processing (NLP) — designed for students, educators, and professionals looking to learn and apply NLP using Python.

This isn’t just a theoretical textbook — it’s also a practical workbook, featuring 14 hours of step-by-step NLP workshops with real code using NLTK, spaCy, Transformers, Keras, TensorFlow, and BERT.


🔍 What’s Inside This Book

📖 Comprehensive NLP Foundation

  • Learn core NLP concepts: tokenization, stemming, lemmatization, POS tagging, parsing, embeddings, attention
  • Explore modern AI applications: AI chatbots, sentiment analysis, text summarization, question answering

🔧 Hands-On Python Workshops

  • 7 guided workshops totaling 14 hours of structured NLP projects
  • Apply what you learn directly in Python using:
    • 🔹 NLTK for classical NLP
    • 🔹 spaCy for industrial-scale pipelines
    • 🔹 TensorFlow/Keras for deep learning
    • 🔹 Transformers & BERT for cutting-edge LLMs

🤖 Real-World Projects

  • Build your own AI chatbot
  • Create text classifiers and language models
  • Use pretrained LLMs for generation, translation, and QA

👨‍🏫 Who Is This Book For?

🎯 Undergraduate students learning NLP or AI
🎯 Lecturers & instructors teaching NLP courses
🎯 Developers and enthusiasts exploring modern NLP tools
🎯 Data scientists & ML engineers transitioning into NLP
🎯 Anyone with Python skills looking to build real NLP applications

You don’t need a PhD — just basic Python and curiosity.


🧾 What Makes This Book Stand Out

✅ Combines academic clarity with practical coding
✅ Updated to reflect modern NLP and generative AI trends
✅ Written by a seasoned educator for structured, step-by-step learning
✅ A perfect blend of textbook + workshop toolbook
✅ Leverages popular Python libraries and LLMs
✅ Great for self-study, university courses, or skill upgrades


📝 Table of Contents Sneak Peek

  1. Introduction to NLP
  2. Text Preprocessing & Linguistic Essentials
  3. Rule-Based and Statistical NLP
  4. Neural Networks for NLP
  5. Transformers and BERT
  6. Chatbot Development
  7. Sentiment Analysis & Classification
  8. Python Workshop Series (7 Projects – 14 Hours)
  9. Final Project: Build and Deploy an NLP System

📥 Get Your Copy Now and Start Building With NLP

📚 Whether you're aiming to build a chatbot, explore generative AI, or understand how tools like BERT and Transformers really work — this book is your ultimate launchpad.

📩 👉 DOWNLOAD “NLP WITH PYTHON – 2ND EDITION” FREE PDF


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📌 Learn it. Code it. Apply it. Master Natural Language Processing with Python – starting today.


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