Patent Document ID: 8515828
Application ID: 13483037

Base Claim:
1. A computer-implemented method for providing product recommendations based on identification of negative sentiment key phrases in customer reviews, the method comprising: receiving, by a computer, a request for product information defining at least a product or product category; identifying, by the computer, product reviews matching the product or product category to generate a review analysis set; identifying, by the computer, negative sentiment key phrases in each review of the review analysis set; calculating, by the computer, a weight for each identified negative sentiment key phrase by determining a relative frequency of the identified negative sentiment key phrase in the customer reviews of the review analysis set and calculating an inverse of the relative frequency; correlating, by the computer, the negative sentiment key phrases with product characteristics using a classification rubric, wherein the classification rubric defines which negative sentiment key phrases are associated with a product characteristic; calculating, by the computer, for each product characteristic, a score based on the weights of the negative sentiment key phrase or phrases correlated to the product characteristic; generating, by the computer, an identity of each product reviewed in the review analysis set and, for each product, a summary of scored product characteristics; and communicating, by the computer, at least a portion of the identities of each product reviewed in the review analysis set and the corresponding summary of scored product characteristics.

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Claim 7:
7. The method of claim 1 , wherein the relative frequency of a negative sentiment key phrase is calculated by determining how frequently the negative sentiment key phrase is used in customer reviews of all products of the same product class.