Understanding the persona of a character can help readers better understand the storyline of a novel, which can be especially important when studying novels from different time periods. Generally, a reader generates a persona by looking at a character’s actions, dialog, behavior, opinions, and relationships. This project produced a program that generates character personas in a novel by displaying the most frequent verbs and adjectives that are in the same sentence as a character’s name. Using those words, the program also generates a positive or negative rating for each chapter, which is displayed in a graph of the entire book.