In this module, we will go under the hood inside a topic modeling approach and understand what assumptions drive topic model fit. We will also uncover how bag-of-words approaches to topic modeling work, and the natural language processing required to produce meaningful topic modeling features.

In this module, we will learn how to evaluate the fit of topic models and use the best topic model to classify documents. We will also cover how to build topic models with pre-trained neural networks.

Network analysis was created as a science to study the relationships that people have with each other. This module will focus on on social networks, or relational networks of people, things, and so on.

In this module we'll go further into network analysis and study the relationships that words have with each other. Semantic networks can tell is more about the context in which people are using words in collections of documents, and in this module we'll learn how to turn this method into marketing insights.