Contexts are chosen from each interval in a round robin fashion in order of least entropy from each group.
we hypothesis that if this is the case, an independent measure of a cluster's sentiment will show a high likelihood that a cluster to be either positive or negative in sentiment overall or be a mixture of positive and negative sentiments so that the overall sentiment is neutral.