1. A computer implemented method for managing perspective data, the method comprising: identifying, by a processor, a variant feature of an item having a first set of perspective data, including a first set of reviews of the item, using natural language processing to analyze linguistic content of the first set of reviews, wherein the variant feature is a changed feature of the item; grouping, by the processor, based on the variant feature, the first set of perspective data into a first group and a second group using natural language processing to analyze the first set of reviews and to determine whether reviews included in the first set of reviews are more closely related to a first variable element of the variant feature or a second variable element of the variant feature using a frequency analysis, wherein grouping the first set of perspective data comprises: sorting into the first group, first perspective data of the first set of perspective data that is associated with the first variable element of the variant feature, and sorting into the second group, second perspective data of the first set of perspective data that is associated with the second variable element of the variant feature; determining a first set of relevancy scores for the first group and a second set of relevancy scores for the second group by using natural language processing to parse the first group and the second group for content and calculating weights of the parsed content, wherein a relevancy score is a numerical value indicating a relative significance, notability, or quality of a group; establishing, by the processor, using at least one of the first set of relevancy scores and the second set of relevancy scores, a second set of perspective data configured to include a subset of the first set of perspective data; and providing, by the processor, a visual representation of the second set of perspective data to a user.