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Full Description
Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customise your own statistical models to improve text processing.
Contents
Introduction
Chapter 1: How Natural Language Processing Works
Chapter 2: The Text-Processing Pipeline
Chapter 3: Working with Container Objects and Customizing spaCy
Chapter 4: Extracting and Using Linguistic Features
Chapter 5: Working with Word Vectors
Chapter 6: Finding Patterns and Walking Dependency Trees
Chapter 7: Visualizations
Chapter 8: Intent Recognition
Chapter 9: Storing User Input in a Database
Chapter 10: Training Models
Chapter 11: Deploying Your Own Chatbot
Chapter 12: Implementing Web Data and Processing Images
Linguistic Primer
