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Analyze State of the Union addresses using Natural Language Processing (NLP)

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Topic Modelling the State of the Union Address

"He shall from time to time give to Congress information of the State of the Union and recommend to their Consideration such measures as he shall judge necessary and expedient."

— Article II, Section 3 of the United States Constitution

In this project, we'll analyze State of the Union Addresses from 1790-2022, courtesy of Kaggle.com.

The goal will be to identify the main topics of each speech, and see if they align with legislative items Congress took up in ensuing year.

To accomplish this, we will use NLP libraries such as scikit-learn, gensim, SpaCy, and NLTK. We will also make use of Pandas and NumPy for data manipulation, and Matplotlib, Seaborn, and Tableau for visualization.

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