Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models

no code implementations • 23 Jul 2017 • Michael C. Hughes, Leah Weiner, Gabriel Hope, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez

Supervisory signals have the potential to make low-dimensional data representations, like those learned by mixture and topic models, more interpretable and useful.

Sentiment Analysis Topic Models