Python Natural Language Processing: Analyze Text and Build Language Understanding Systems with Hands-On Exercises
Unlock the potential of natural language processing (NLP) with "Python Natural Language Processing: Analyze Text and Build Language Understanding Systems with Hands-On Exercises." This comprehensive guide provides you with the knowledge and tools to analyze text, build language understanding systems, and perform text classification using Python. Perfect for beginners and experienced programmers alike, this book offers step-by-step instructions, practical examples, and hands-on exercises to help you master NLP.
Inside this essential guide, you'll discover:Introduction to Natural Language Processing
Understanding NLP: Learn what NLP is, its importance, and how it is used in various applications such as sentiment analysis, chatbots, and machine translation.
Setting Up Your Environment: Get started with Python installation, setting up your development environment, and installing essential NLP libraries such as NLTK, spaCy, and Scikit-learn.Basic Concepts and Techniques
Text Preprocessing: Discover techniques for text preprocessing, including tokenization, stemming, lemmatization, and stop-word removal, to prepare text data for analysis.
Part-of-Speech Tagging: Learn how to perform part-of-speech tagging to understand the grammatical structure of sentences.Text Analysis and Understanding
Named Entity Recognition (NER): Extract important entities such as names, dates, and locations from text using NER techniques.