Method for constructing public opinion knowledge map based on hot events

Abstract

The present invention discloses a method for constructing a public opinion knowledge map based on hot events, and belongs to the field of natural language processing. The method comprises: obtaining microblogging texts in real time, processing each microblogging text, constructing text clusters, calculating a topic category to which each text cluster belongs, identifying hot events in each clusterby category, and collecting statistics of multi-dimensional attributes of each hot event; identifying key people and organizations involved in the discussion of the hot events and obtaining the multi-dimensional attributes of the key people and organizations; and constructing a multi-dimensional attribute system and a relationship type among events, people and organizations, taking the relationship among the events, people and organizations as association, and constructing a public opinion knowledge map. According to the method disclosed by the present invention, the hot events, people and organizations can be described from multiple dimensions, and all-directional analysis of hot events, people and organizations can be implemented; and according to the actual needs, the weight of different topic categories can be set, and construction of the public opinion knowledge map of different topics can be realized.

Description

technical field [0001] The invention belongs to the field of natural language processing, and relates to a knowledge graph construction technology, in particular to a public opinion knowledge graph construction method based on hot events. Background technique [0002] In recent years, with the rapid development of Internet technology, social media has become an indispensable part of people's lives; the most widely used social media is the Weibo platform. Some important media (such as People's Daily Online and Xinhuanet) publish hot news and reports through the microblog platform, and people can express their views on the hot news and reports through the microblog platform; these views have very important research value for the subject of news reports. [0003] For example, a piece of news about the collective resignation of a company's executives, people will comment on and forward the news, and express their opinions and views on the news. Analyzing these opinions and view...

AI Technical Summary

Problems solved by technology

[0004] However, since the Weibo platform generates hundreds of millions of text information every day, and there are many kinds of associations between the information, it is impossible to reveal the associations between the information only by relying on traditional data mining technology. A technology that can dig out valuable information from a large amount of text and reveal the relationship between information to achieve public opinion analysis on social media

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