As a fan of the popular TV show The Office, I conducted an analysis of the show's script using natural language processing (NLP) techniques. In particular, I used a tool called TF-IDF to identify important words in the script and uncover unique vocabulary for each character.
TF-IDF stands for term frequency-inverse document frequency and is a tool used to identify important words in a given text. It essentially calculates the frequency of a word in a document and compares it to the frequency of that word across all documents, allowing us to determine the unique words used by each character in the show.
To visualize the results of the analysis, I used word clouds for each character. The word clouds display the most important words for each character, and the size of the words reflects their importance in the script.
Here are some word clouds showing the most unique words for each character:
