How to Use SVD and NMF in Python

In the context of Natural Language Processing (NLP), topic modeling is an unsupervised learning problem whose goal is to find abstract topics in a collection of documents. Topic Modeling answers the question: "Given a text corpus of many documents, can we find the abstract topics that the text is talking about?" By the end of this tutorial, you'll be able to build your own topic models to find topics in any piece of text. Let's start by understanding what topic modeling is. Suppose you're given a large text corpus containing several documents.