Jupyter

Mood: Harry Potter

Using Python, I conducted a sentiment analysis of the Harry Potter book series by chapter and book using natural language processing (NLP). I also utilized a naive bayes classifier to detect trends in sentiment throughout the books.

Harry Potter and the Learning of WordCloud

Using Python, I cleaned all text data from the Harry Potter series to create a word cloud based on the cumulative word count. The end result was an artistic word cloud in a magical style fit for the Harry Potter universe.

Speaking Parseltongue to Python: Adventures in Harry Potter Text Analysis

I learned how to use Python by conducting exploratory data analysis on the Harry Potter book series using Natural Language Processing