Part 2:Developing and Testing Natural Language Understanding Systems

After completing this section, you will be able to decide what techniques are applicable to address a problem with natural language understanding technologies and implement a system using Python and Python libraries such as NLTK, spaCy, and Keras, and evaluate it.

This part comprises the following chapters:

• Chapter 3, Approaches to Natural Language Understanding – Rule-Based Systems, Machine Learning, and Deep Learning
• Chapter 4, Selecting Libraries and Tools for Natural Language Understanding
• Chapter 5, Natural Language Data – Finding and Preparing Data
• Chapter 6, Exploring and Visualizing Data
• Chapter 7, Selecting Approaches and Representing Data
• Chapter 8, Rule-Based Techniques
• Chapter 9, Machine Learning Part 1 – Statistical Machine Learning
• Chapter 10, Machine Learning Part 2 – Neural Networks and Deep Learning Techniques
• Chapter 11, Machine...