Ultimate Natural Language Processing with spaCy and Hugging Face: Master the End-To-End Journey of NLP by Using Foundational Methods, Building ... Models with Hugging Face (English Edition)

Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects!Book DescriptionNatural Language Processing (NLP) is at the core of modern AI, powering everything from chatbots to recommendation systems. “Ultimate Natural Language Processing with spaCy and Hugging Face” is a practical guide that takes you from essential NLP foundations to advanced transformer models and large language applications, equipping you to build real-world AI projects with confidence.You begin with the fundamentals—tokenization, lemmatization, Bag-of-Words, TF-IDF, embeddings, POS tagging, and Named Entity Recognition—and apply them to practical use cases such as sentiment analysis, topic classification, and text classification.The book then moves into Deep Learning for NLP with hands-on coding of CNNs, RNNs, and LSTMs, progressing from theory to applied projects. spaCy is explored in depth, with guidance on building and customizing pipelines for NER, POS tagging, and sentiment analysis. Real-world projects, including extracting dates and events from news articles, ensure that every concept connects to practical applications.Table of Contents1. Introduction to NLP and the Essential Libraries2. Building Blocks and Techniques for NLP Algorithms3. Sentiment Analysis Using NLP4. Deep Learning in NLP5. Working with CNN6. Building NLP Pipelines Using spaCy7. Building a spaCy Pipeline for Extracting Information8. Building a Transformer Using Hugging Face9. Training Language Models10. Importance of Large Language Models and Their Applications11. Fine-Tuning LLMs and Building Text-Powered Tools12. Best Practices and Future Trends of NLP Index Read more