Mastering Text Analytics: A Hands-on Guide to NLP Using Python (2025)

📩 👉 CLICK TO DOWNLOAD “Mastering Text Analytics: A Hands-on Guide to NLP Using Python” – Free PDF

🧠 Mastering Text Analytics: A Hands-on Guide to NLP Using Python (2025)

📘 Title: Mastering Text Analytics: A Hands-on Guide to NLP Using Python

👨‍💻 Authors: Shailendra Kadre, Shailesh Kadre, & Subhendu Dey

🏢 Publisher: Apress

📅 Year: 2025

📥 👉 DOWNLOAD Free PDF NOW

🚀 Why Text Analytics Matters More Than Ever

In the era of information overload, understanding human language at scale is a superpower. From chatbots and recommendation systems to fraud detection and social media analytics, text data drives the most intelligent systems today.

“Mastering Text Analytics: A Hands-on Guide to NLP Using Python” offers a complete roadmap to Natural Language Processing (NLP) — blending theory, mathematics, and real-world implementation using Python’s most powerful libraries.

Whether you’re a data scientist, ML engineer, or researcher, this book helps you turn unstructured text into actionable insights through hands-on coding and real projects

📚 What You’ll Learn in This Book

🔑 Core NLP Foundations

Understanding the text analytics pipeline

Tokenization, stemming, and lemmatization

Word embeddings and vectorization (TF-IDF, Word2Vec, GloVe)

POS tagging, named entity recognition, and syntactic parsing

🧠 Advanced NLP Techniques

Deep learning for NLP using Transformers, BERT, and GPT architectures

Sentiment analysis, topic modeling, and text summarization

Building and fine-tuning models with Hugging Face Transformers

Handling large-scale corpora efficiently

⚙️ Hands-on Projects

Building a sentiment analysis engine for product reviews

Creating a news classifier and topic clustering model

Designing an AI chatbot with contextual understanding

Real-world case studies from finance, healthcare, and e-commerce

📊 Python Ecosystem for NLP

Libraries covered: NLTK, spaCy, gensim, Scikit-learn, TensorFlow, PyTorch

Text preprocessing and feature extraction best practices

Deploying NLP models into production pipeline

👨‍💻 Who This Book Is For

✅ Data scientists and analysts entering NLP and AI fields

✅ Machine learning engineers building intelligent applications

✅ Researchers working with text, linguistics, or AI systems

✅ Graduate students studying applied AI and data science

✅ Developers wanting to build chatbots, sentiment analyzers, or text classification systems

> 🧩 No prior deep learning expertise required — everything is explained step by step.

💡 Why You’ll Love This Book

🧠 Balanced approach: theory, code, and case studies

💻 Hands-on Python implementations with reproducible code

🔍 Focus on real business use cases (finance, healthcare, customer analytics)

⚡ Up-to-date content covering Transformers and LLMs

📚 Published by Apress, known for practical AI and ML books

📥 Download or Read the Book

📩 👉 CLICK TO DOWNLOAD “Mastering Text Analytics: A Hands-on Guide to NLP Using Python” – Free PDF

🎯 Learn how to transform raw text into structured intelligence using Python and the latest NLP technologies.

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📌 “From raw words to intelligent insights — master the art and science of NLP with Python.”