1. A method for identifying products with polarized sentiments, the method comprising: obtaining, by a computer system, a plurality of user ratings associated with a product, wherein each user rating corresponds to a respective user's opinion of the product; determining, by the computer system, an overall average review rating for the product within a dimension, wherein the dimension corresponds to a user trait, and wherein the determining the overall average review rating is based on the user ratings; determining, by the computer system, a segment variation score for each of a plurality of segments of the dimension, wherein each segment corresponds to one or more values of the user trait corresponding to the dimension, and wherein the determining the segment variation score for a particular segment is based on a distance between the overall average review rating and an average of a portion of the user ratings corresponding to the particular segment; determining, by the computer system, a total variation score for the dimension based on the segment variation scores determined for each of the plurality of segments of the dimension; determining, by the computer system, whether the dimension is polarized by comparing the total variation score for the dimension to a polarization threshold; and in response to determining that the dimension is polarized, the computer system generating information configured to identify the product as having sentiment that is polarized with respect to the dimension.