POTUS Sentiment Analysis

Final project for Georgia Tech's Applications to Linguistics (LING 3100) course. Used a RoBERTa model fine-tuned to classify 28 different emotions to evaluate trends of sentiments of U.S. Presidential Inaugural Addresses over the course of history. Used BeautifulSoup 4 to scrape transcripts of these Addresses from the American Presidency Project website, along with Hugging Face Transformers and NLTK for the actual sentiment analysis.