Python Natural Language Processing Cookbook
Over 60 recipes for building powerful NLP solutions using Python and LLM libraries
Created by Zhenya Antić, Saurabh Chakravarty
Explore practical NLP techniques using Python and popular libraries to tackle real-world text analysis tasks. You'll work with large language models, transformers, and advanced tools to extract insights and build intelligent applications. The focus is on hands-on recipes that help you apply the latest NLP advancements in your projects.
Packt | Sep 2024 | 312 min
What You Will Learn
You'll learn by working through practical, hands-on recipes that guide you step by step. Each section focuses on a specific NLP challenge, showing you how to use Python and leading libraries to solve it. Along the way, you'll experiment with real data, build and evaluate models, and see how advanced techniques fit into real applications.
Key Features
- Build NLP pipelines for sentiment analysis, topic modeling, and question answering
- Work with transformer models and large language models using Hugging Face and OpenAI
- Apply explainable AI techniques to understand and trust your NLP model predictions
Target Audience
This content is designed for data scientists, machine learning engineers, and developers with a solid grasp of Python. If you want to expand your skills in NLP, extract insights from text, or build smart applications, you'll find clear guidance here. No prior NLP experience is required, making it accessible for those new to the field, while also offering advanced topics for experienced developers.
