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Comparing The Simpsons and Family Guy with Text Mining

Computational analysis of humor, sentiment, and latent topics across two iconic animated series.

Text Mining LDA & STM Sentiment Analysis

Abstract

This project conducted a comparative analysis of The Simpsons and Family Guy dialogues using text mining, topic modeling (LDA and STM), and sentiment analysis. Results confirm many perceived differences between the two series and reveal evolving narrative and linguistic patterns over time.

Key Takeaway

Family Guy exhibits a more provocative, colorfully emotional language; The Simpsons maintains a more neutral and accessible tone. Topic modeling identifies recurring themes such as family life, media, holidays, school, work, marriage, and politics, with differing treatment across series. Sentiment analysis confirms these tonal differences and highlights character- and theme-specific emotional dynamics over time.

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