Description
Natural Language Processing in Action, Second Edition by Hobson Lane is a hands-on guide to building intelligent language-based applications. This book explores covering essential techniques for text analysis and machine learning. Readers will learn how to develop AI-driven solutions for text classification, sentiment analysis, and information extraction. The book introduces the fundamentals of tokenization, word embeddings, and sequence modeling.
Designed for developers, data scientists, and AI enthusiasts, this book provides practical examples using Python, spaCy, TensorFlow, and PyTorch. It teaches how to build chatbots, language models, and automated text-processing systems. Readers will gain experience with named entity recognition, part-of-speech tagging, and dependency parsing. Natural Language Processing in Action includes step-by-step projects for real-world applications.
The book explores cutting-edge advancements in NLP, including transformers, BERT, GPT, and multilingual models. Readers will understand how modern AI systems process, generate, and comprehend human language. The book explains best practices for training, fine-tuning, and evaluating NLP models. It covers performance optimization techniques to enhance accuracy, speed, and scalability.
Natural Language Processing in Action also addresses ethical concerns in AI development. It discusses bias mitigation, interpretability, and responsible AI practices. The book provides insights into deploying NLP models in cloud environments and production systems. It includes case studies showcasing NLP applications in healthcare, finance, and customer service.
With a blend of theory and hands-on coding, this book is perfect for mastering real-world NLP applications. It helps readers build custom AI-powered solutions for speech and text data. Natural Language Processing in Action is a must-read for anyone looking to innovate in artificial intelligence and machine learning.
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