Research on Online Reputation of Goods Based on Emotional Analysis

Online reputation of goods plays an important role in improving market efficiency and creating an orderly competitive environment in the network market. Based on the detailed possibility theory, this paper proposes an improved online reputation measurement model of goods, extracts two thinking paths in the process of forming consumers’ online reputation attitude, and analyzes the factors that influence the change of goods reputation. In this paper, the text emotion analysis technology is used to deeply mine the text information of e-commerce comments to reflect the attributes and attitudes of consumers, the usefulness of a single comment is determined by other comment features. And combined with the search index on the search engine to determine the online reputation of goods. Grab the mobile phone review data on JD.com platform for experimental verification to show the current online reputation ranking of goods, consumers’ attention to various attributes of goods, emotional attitudes and so on. This paper expands the evaluation perspective of online commodity reputation, and from the perspective of cognition and emotion. It can better discover the true wishes of consumers and provide targeted countermeasures and suggestions for enterprises to improve goods and services.