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15 Years of News – Analyzing CNN Transcripts: Visualizing Topics

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High-level visualization of topics in CNN’s corpus

By extracting several topics from our news corpus, we gained a 10,000 feet view of corpus. We were able to outline many trends and events, but it took a bit of digging. This article will illustrate how the topics relate each to one another. We’ll even throw a bit of animation to take a look back the last 15 years.

When we extracted the topics from the corpus, we also found another way to describe all the news snippets and words. Instead of seeing a document as a collection of words, we could see it as a mixture of topics. We could also do the same thing with topics: every topics is a mixture of words used in its associated fragments.

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