Public opinion association analysis method and system based on knowledge graph

Abstract

The invention discloses a public opinion association analysis method based on a knowledge graph, and the method comprises the steps: extracting the attributes and relationships of entities in Internetpublic opinion knowledge, and constructing a public opinion business knowledge base based on the knowledge graph; determining a plurality of same or different types of entities needing association analysis, and combining the plurality of same or different types of entities in an intersection, combination or subtraction manner; and determining the result composition of association analysis of eachcombination mode of a plurality of same or different types of entities to obtain an analysis result. The invention further provides a public opinion association analysis system based on the knowledgegraph. According to the invention, association analysis of knowledge of the same type or different types including specific characters, specific organizations, specific events, specific topics and the like can be realized; and multi-dimensional deep analysis and association mining of the associated entities are realized, and the service users are helped to accurately grasp association conditionsof various different groups and intelligent analysis results of the associated entities so as to assist in decision making.

Description

technical field [0001] The present invention relates to the field of computers. More specifically, the present invention relates to a public opinion association analysis method and system based on a knowledge map. Background technique [0002] At present, the systems in the field of Internet public opinion mainly focus on the comprehensive analysis of "information" granularity, such as the extraction of information related to public opinion events (or public opinion figures, organizations, etc.) and the multi-dimensional intelligent analysis of information, but the "knowledge" granularity has not been realized. It is impossible to carry out correlation analysis on the same or different types of knowledge including specific persons, specific organizations, specific events, specific topics, etc. Multi-dimensional in-depth analysis and association mining, such as the geographical distribution of associated persons, the distribution of identity categories, the distribution of a...

AI Technical Summary

Problems solved by technology

[0002] At present, the systems in the field of Internet public opinion mainly focus on the comprehensive analysis of "information" granularity, such as the extraction of information related to public opinion events (or public opinion figures, organizations, etc.) and the multi-dimensional intelligent analysis of information, but the "knowledge" granularity has not been realized. It is impossible to carry out correlation analysis on the same or different types of knowledge including specific persons, specific organizations, specific events, specific topics, etc. Multi-dimensional in-depth analysis and association mining, such as the geographical distribution of associated persons, the distribution of identity categories, the distribution of associated organizations, the relationship between associated entities, etc.

Images