Using NLP and Text Analytics to Cluster Political Texts

NLTK, and scipy on text from Project Guggenheim

Under the umbrella of Text Analytics there are many python packages that can help us analyze current and historical text in ways that yield interesting results. For this project I looked to classify a corpus of political writings, spanning over thousands of years, using cosine similarity clustering. The specific titles I used were:

· “The Prince” by Machiavelli

· “The Federalist Papers” by Hamilton, Madison, & Jay

· “The Condition of the …

analytics nlp nltk scipy text text analytics