A commodity evaluation algorithm based on commodity review abstracts

With the rapid development of e-commerce industry, more and more people are accustomed to online shopping. At the same time, the quality of the product has become an important indicator of consumer online shopping, How to recommend consumers with good quality, good reputation products become the focus of current research. This article aims to conduct multi-dimensional evaluation of the product from which to extract the important content of the product information to help users better understand and purchase items. This paper mainly studies the extraction of the texts of the product reviews and summarizes the important evaluation information of the products according to the influence of different weighting factors on the content of the reviews, then gives consumers reference index of the product. Experiments show that the method of product evaluation based on the product comment information can effectively improve the efficiency of the text digest and help consumers better choose the product.