ROC Comment is an automated interface for generating natural language comments on behavioral videos. We focus on the domain of public speaking, which many people consider their greatest fear. We collect a dataset of 196 public speaking videos from 49 individuals and gather 12,173 comments, generated by more than 500 independent human judges. We then train a k-Nearest-Neighbor (k-NN) based model by extracting prosodic (e.g., volume) and facial (e.g., smiles) features. Given a new video, we extract features and select the closest comments using k-NN model. We further filter the comments by clustering them using DBScan, and eliminating the outliers. We are working on generating comments using deep learning. Our system is available online.

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