Foreword
Preface
Part I. Foundations
1. NLP: A Primer
NLP in the Real World
NLP Tasks
What Is Language?
Building Blocks of Language
Why Is NLP Challenging?
Machine Learning, Deep Learning, and NLP: An Overview
Approaches to NLP
Heuristics-Based NLP
Machine Learning for NLP
Deep Learning for NLP
Why Deep Learning Is Not Yet the Silver Bullet for NLP
An NLP Walkthrough: Conversational Agents
Wrapping Up
2. NLP Pipeline
Data Acquisition
Text Extraction and Cleanup
HTML Parsing and Cleanup
Unicode Normalization
Spelling Correction
System-Specific Error Correction
Pre-Processing
Preliminaries
Frequent Steps
Other Pre-Processing Steps
Advanced Processing
Feature Engineering
Classical NLP/ML Pipeline
DL Pipeline
Modeling
Start with Simple Heuristics
Building Your Model
Building THE Model
Evaluation
Intrinsic Evaluation
Extrinsic Evaluation
Post-Modeling Phases
Deployment
Monitoring
Model Updating
Working with Other Languages
Case Study
Wrapping Up
3. Text Representation
Vector Space Models
Basic Vectorization Approaches
One-Hot Encoding
