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Providing product recommendations through keyword extraction from negative reviews

  • US 8,515,828 B1
  • Filed: 05/29/2012
  • Issued: 08/20/2013
  • Est. Priority Date: 05/29/2012
  • Status: Active Grant
First Claim
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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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