Product recommendation using sentiment and semantic analysis

摘要

In an approach to determine a product rating a computer receives a user request for a product rating. The computer retrieves from on-line sources, product information on the product and analyzes the product information to determine a first product rating. The analysis includes at least a sentiment, and a trend of the sentiment. The approach includes a computer identifying products similar to the product and retrieving from on-line sources product information on similar products. A computer extracts comments on the product from the similar product information and determines an adjustment to the first product rating based on an analysis of the comments and references to the product in the similar product information. The adjustment to the first product rating includes using a sentiment, a trend of the sentiment over time, and a frequency of comments and references to the product over time in the retrieved plurality of similar product information.