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This research examines the viability of applying previously constructed Bag of Words sentiment models to large conversations regarding tuition-free policy. Predicted and manual accuracy checks suggest application of these models are appropriate and when combined with gender and ethnicity modeling, and predictive analysis could be used in deeper investigations.