LDA is a natural language analysis model that allows to understand the semantic meaning of the text by analyzing the similarity between the distribution of the terms of the document with that of a specific topic (topic) or of an entity. More recently, LDA has gained notoriety even in semantic SEO as a possible ranking factor for the Google search engine.
Using LDA to classify text documents
Getting ready
In this recipe, we will use the sklearn.decomposition.LatentDirichletAllocation function to perform a topic modeling analysis.
How to do it...
Let's see how to use...