1. An automated process comprising the steps of: electronically accessing a source collection of product reviews, each product review containing at least a digital text; automatically selecting representative phrases from the digital texts of at least some of the product reviews, each representative phrase being an extract of at least one of the product reviews' digital text, wherein at least one of the following criteria is also satisfied: (a) the representative phrase comes from a product review which has a star rating within thirty percent of an overall star rating of the source collection, (b) a star rating of the representative phrase, which is derived from a balance between positive and negative sentiments in the representative phrase, is within thirty percent of a star rating of the product review the representative phrase comes from, or (c) a balance between positive and negative sentiments in the composite product review is within thirty percent of a balance between positive and negative sentiments in the source collection of product reviews from which the representative phrase was extracted; and automatically aggregating at least some of the selected representative phrases into one or more coherent sentences, thereby creating a multiphrase composite product review, wherein the multiphrase composite product review is brief in that the length in words of the multiphrase composite product review is no more than one half of the combined lengths of the digital texts of the product reviews from which the representative phrases were extracted; wherein the process computationally analyzes product reviews to create the multiphrase composite product review containing selected extracts without requiring any selection of review extracts by human reader(s), thereby making possible a uniformity of extract selection, a breadth and promptness of composite review distribution, and a rapidity and reliability of composite review creation which are not feasible by mental steps alone.