With Chapter 8, Topic Models and Chapter 9, Advanced Topic Modelling, we are now equipped with the tools and knowledge of applying topic models to our textual data. Topic modelling is a largely data exploratory tool, but we can also carry out some more targeted analysis, like seeing the topics which make up a document, or which words in a document belong to which topic. Gensim gives us the functionality to carry out these tasks quite easily, with its API constructed so that we can access the mathematical information behind topic models without a hassle.
In the next chapter, we will carry our more targeted text analysis tasks, such as clustering or classification. Clustering and classification algorithms are largely used in text analysis to group similar documents together and are machine learning algorithms. We will explain the intuition behind these methods as well as...
