Project 3 : USA presidential vocabulary

This project was realized within Codecademy's course Apply Natural Language Processing with Python. The code is available both as a Jupyther Notebook and as a Python script for better accessibility and clarity.

Key notions

• Word Embeddings
• Token similarity
• spaCy

Project overview

• Analyzing the inaugural addresses of the presidents of the United States of America using word embeddings in order to gain insight into how they use language to communicate their agendas.
• training sets of word embeddings on subsets of inaugural addresses versus the collection of all presidents' addresses.