Presidential Topic Modeling and Classification using State of the Union Addresses

Here I had two goals: find out what latent topics were preset in all of the State Of the Union addresses since 1790 and predict which President said which sentence. Preprocessing is a crucial ingredient for natural language processings tasks and here I use part of speech tagging for tokenization/lemmatization.

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Mitch Murphy

Improving humanity by teaching machines how to learn.

You can find my Jupyter notebook for this analysis here.

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Presidential Topic Modeling and Classification using State of the Union Addresses

Mitch Murphy

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