Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
In the previous chapter, we went through a text visualization using t-SNE. T-SNE, or any dimensionality reduction algorithm, is a type of unsupervised learning. Moving forward, in this chapter, we will be continuing our unsupervised learning journey, specifically focusing on clustering and topic modeling. We will start with how unsupervised learning learns without guidance and how it is good at discovering hidden information underneath data.
Next, we will talk about clustering as an important branch of unsupervised learning, which identifies different groups of observations from data. For instance, clustering is useful for market segmentation, where ...