Discovering and classifying situations that influence affective response

摘要

Described herein are systems for identifying situations. The system receive samples, each comprising a temporal window of token instances to which a user was exposed and an affective response annotation. One embodiment uses a clustering algorithm to cluster the samples into a plurality of clusters utilizing a distance function that computes a distance between a pair comprising first and second samples. Another embodiment utilizes an Expectation-Maximization approach to assign situation identifiers. And another embodiment involves training, utilizing the samples, a machine learning-based classifier to assign situation identifiers.