Abstract
Choosing trusted reviews is the primary way that consumers get a true feeling about buying products online. At present, many scholars study the authenticity and usefulness of shopping reviews, but it is difficult for us to effectively quantify review texts. This paper designs a quantitative method of commodity reviews based on Baidu natural language processing API interface. According to the technical means of Python Crawler, the reviewtext is extracted from the shoppingweb page, and the C-F model is established to analyze the review text quantitatively by calling the natural language processing technology of Baidu AI open platform. In this approach, the problems of natural language quantification and trust can be solved effectively.
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