People speak a lot.
For example: politicians when they hold a speech.
Or me, about this project on Medium.
Playing with the linguistic concept of Language Universals, I wrote some code that weeds through speeches, taking out everything except nouns and verbs. Reading it in the aftermath allows the reader a maybe pensive, maybe revealing, but most probably just ten-seconds-fun-amusing, digest of some past US president's mumblings.
Example Project Output from JFK.
Hope you'll enjoy : )
Put on some shoes and go outside. Move feet swiftly.
- either follow along my steps inside the
unconditionally.ipynbfile (You'll need to have Jupyter Notebooks for that) - or use just the python file
unconditionally.py
Both require a Python 3 environment.
Simply enter the name of one of the state_union speeches into the get_real() function. Press what you need to press. Open index.html. 🎉