1. A computer-implemented process, comprising: applying a machine-learned facet model to evaluate a plurality of samples of sentiment-bearing content to identify conversational topics and facets associated with one or more segments of that content; identifying one or more of the facets that have a consensus based on two or more samples of the sentiment-bearing content; generating a plurality of conversational utterances about one or more of the identified facets that have a consensus; and wherein one or more of the conversational utterances are generated by fitting one or more of the facets to one or more predefined conversational frameworks.