Here's a snippet of how SpaCy works on a given text:. Latent Dirichlet Allocation LDA is an example of topic model and is used to classify text in a document to a particular topic.
It builds a topic per document model and words per topic model, modeled as Dirichlet distributions. In this section, first I put all song lyrics into a list.
Then, using Scikit-Learn's CountVectorizer, I will create a bag-of-words corpus representing all the lyrics. Sample picture of the pyLDAvis interactive plot:.
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