1. A computer-implemented process, comprising: receiving a machine-learned facet model; the machine-learned facet model automatically generated by applying one or more automated machine-learning processes to a plurality of examples of training data to train the machine-learned facet model; the plurality of examples of training data comprising a plurality of automatically clustered and labeled instances of sentiment vocabulary extracted from sentiment bearing content; applying the 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 sentiment-based recommendations about one or more of the identified facets that have a consensus; and applying one or more of the sentiment-based recommendations to change a visual appearance of existing content to indicate a type of sentiment associated with one or more corresponding facets identified in the existing content.