User comment analysis method based on text and picture contents

A user comment and analysis method technology, applied in the field of user comment analysis based on text and image content, can solve the problems of single function, single data source, and inability to deeply mine effective information of user comments, etc., and achieve the effect of convenient and reasonable positioning.
CN110287403AInactive Publication Date: 2019-09-27江苏一乙网络信息科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
江苏一乙网络信息科技有限公司
Publication Date
2019-09-27
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a user comment analysis method based on text and picture contents. The method comprises the following steps: 1, inputting weight data of current users participating in ranking; 2, establishing a user ranking method according to the weight data; 3, calculating the user ranking score; 4 storing the user data in a dictionary and storing the ranking score in a skip list, (5) calculating the user ranking according to the skip list and obtaining the corresponding user data, and (6) displaying the user ranking in a game. The ranking system can quickly rank mass users of a farm game. According to the system, the ranking of the users in the game takes the money input ratio and the consumption time input ratio of the consumer products of the users as the ranking basis, and meanwhile, the skip list and the dictionary are taken as the bottom layer data structure of the ranking system, so that the problems of too low fairness of user ranking under multiple weights and low ranking efficiency under mass data can be effectively solved.
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Description

technical field

[0001] The invention relates to the technical field related to e-commerce, in particular to a user comment analysis method based on text and picture content. Background technique

[0002] In recent years, with the continuous development of the Internet, e-commerce platforms have been used in various aspects such as clothing, cosmetics, books, food and agricultural by-products. Among them, user reviews after consumption are the most authentic responses to merchants and products, which can provide more transparent information for other consumers and help consumers further understand the real situation of merchants and products. However, user reviews are often mixed. High-quality user reviews will correctly guide consumers to breed and shop in the game, while poor-quality reviews will reduce consumer confidence in consumption and favorability of e-commerce platforms. In addition, the analysis and screening of user comments by current e-commerce platforms are o...

Claims

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