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Latent Dirichlet Allocation (LDA) topic extraction from text (headlines from New York Times, London Times, Reuters)

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LDA-NYT-LT-Reuters

Latent Dirichlet Allocation Topic Extraction

Imagine searching and exploring documents based on the themes that run through them. We might «zoom in» and «zoom out» to find specific or broader themes; we might look at how those themes changed through time or how they are connected to each other.

background information to Topic Modeling: Blei2012.pdf

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