Naive Bayes, Sentiment, and Harms of Classification
Overview
Students solve a technical problem to understand the math behind the Naive Bayes sentiment classifier. Then, they are prompted to think about how the underlying mathematical assumptions of the Naive Bayes algorithm can cause ethical problems, like bias.
Contributors
- Ethics content created by Uma Phatak, Veronica Rivera, Deveshi Buch, and Dan Jurafsky.
Ethics goals
- Considering how assumptions made by the algorithm used in a sentiment classifier introduces harms, like bias.