July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.