Described herein are systems, methods, and computer program products for collecting naturally expressed affective responses for training an emotional response predictor utilizing voting on content. In one embodiment, a label generator is configured to receive a vote, provided by a user, on a segment of content consumed by the user. The label generator determines whether the user consumed the segment during a duration that is shorter than a predetermined threshold, and utilizes the vote to generate a label related to an emotional response to the segment. A training module receives the label and measurement of an affective response of the user taken, at least in part, during a period that starts at most 30 seconds before the vote is provided, and trains the emotional response predictor with the measurement and the label.
Collecting naturally expressed affective responses for training an emotional response predictor utilizing voting on content