Topic modeling is an excellent method that has a wide range of applications in information retrieval from text data. In this chapter, we learned about a few topic modeling methods, and its implementation using R. We also learned about feature extraction and text clustering using R. Last, but not least, we took a practical real-world problem, to build a baseline sentence completing application.
In the next chapter, we are going to dive into supervised learning algorithms and their use in text classification.
