Providing product recommendations through keyword extraction from negative reviews

摘要

A product recommendation system and method identify product characteristics from customer reviews using a semantic analysis of the product review text. The semantic analysis identifies negative sentiment keywords associated with one or more product characteristics in the customer review and assigns each negative sentiment keyword a value. The value of each identified negative sentiment keywords is then used to calculate a score for the product characteristic to which the negative sentiment keyword is correlated. A product recommendation report comprising the identified products, their product characteristics, a list of scored product reviews, or a combination thereof is then presented to the end user.