Information push and search method and apparatus based on electronic information keyword extraction

Abstract

The application provides an information push and search method and apparatus based on electronic information keyword extraction, wherein the information push and search method comprises the steps of: receiving goods evaluation check requests, obtaining corresponding goods evaluation keywords based on the goods evaluation check requests; and returning the corresponding goods evaluation keywords, wherein the good evaluation keywords are obtained through the flowing steps: obtaining the electronic information used for evaluating the goods; dividing the electronic information into a plurality of sentences; and employing sentence as a unit to match the sentences with the goods evaluation keywords in a preset goods index word library so as to abstract the goods evaluation keywords successively matched. According to the application, the load of accessing a server is mitigated, the occupation of network resource is minimized and the user experience is improved.

Description

technical field [0001] This application relates to the technical field of text analysis applications, in particular to an information push method and device based on electronic information keyword extraction, an information push method and device based on electronic information evaluation parameter extraction, an electronic information based A commodity search method and device, and a client. Background technique [0002] In the current information age, more and more information appears in the form of electronic information. For example, with the rapid development of the Internet, more and more people like to develop their opinions on things online, so a large amount of tendentious comment information appears on the Internet. People hope to obtain the emotional tendency contained in these electronic information through information processing means. [0003] For example, before buying a product such as a commodity, people would like to know whether other people's evaluation...

AI Technical Summary

Problems solved by technology

[0007] For users, the existing method of manual evaluation by buyers obviously cannot meet the needs of evaluation objectivity, and when users often shop online, it is impossible to search for some articles specifically and read the full text carefully.

For the system, if there are evaluation parameters that do not match the facts, it will affect the accuracy of the search results. For example, some bad product information will not be affected by the comment information in the description column, and will also be based on the obtained Praise evaluation parameters are ranked in the forefront of search results together with real praise product information, causing users to need time and energy to distinguish, and even need to search again, which not only increases the burden of accessing the server, but also wastes network resources

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