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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Visualization of document embeddings

Similar to the earlier visualizations, let us look at how doc2vec trains documents, and how the final document embeddings can enable an understanding of the underlying topics of the documents:

In the preceding visualization, you can see that there are some clusters visible in the upper-left corner and at the bottom of the screenshot. This visualization shows that we can figure out the topics of the documents without any explicit labeling of those topics. However, let us see what these clusters include:

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