Summary

In this chapter, we discussed topic modeling in detail. We learned about two different algorithms, LSA and LDA, and how they can be used for topic modeling on any given dataset. We also learned about topic fingerprinting to check for similarity. In the next chapter, we will dig deep into concepts such as text summarization and text generation.