Enterprise public opinion environment monitoring method and system based on big data

Abstract

The invention discloses an enterprise public opinion environment monitoring method and system based on big data. The method comprises the steps of collecting and recording public opinion data on the Internet and classifying the public opinion data; sorting, classifying and counting the hot topics to sort out a public belief map; statistical analysis is carried out on enterprise subject related events, data change characteristics of enterprise public opinion fermentation are learned, and an industry knowledge graph of an enterprise is constructed; the public belief map, the learning result of enterprise public opinion fermentation and the industry knowledge map are continuously updated, and enlightenment is provided for daily internal management and event research and judgment of enterprises. According to the method, the public belief map is constructed by performing continuous statistical analysis on the public opinion data, and the public belief map can provide reference information for public customs and market departments of all industries; in addition, the method inherits data of a knowledge graph of the industry and a public opinion event fermentation process of the enterprise, and can provide guidance for daily internal management and public opinion event research and judgment of the enterprise; when a public opinion event occurs, a solution can be quickly formed.

Description

technical field [0001] The present application relates to the technical field of public opinion data analysis, and in particular, to a method and system for monitoring the public opinion environment of an enterprise. Background technique [0002] If a company wants to develop for a long time, it needs to continue to pay attention to the public opinion environment of the company. [0003] Most of the solutions for enterprise public opinion monitoring and risk warning are to use crawlers to collect network public opinion data, then use keywords to filter, and then use the open source semantic library to make simple positive and negative judgments on the filtered data, so as to initially analyze the non-structural data. Data is processed and visualized. [0004] However, the above-mentioned traditional solutions cannot be combined with the current public opinion environment, and it is also difficult to deeply integrate the industry to process unstructured data. In addition, s...

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Problems solved by technology

[0004] However, the above-mentioned traditional solution cannot be combined with the current public opinion environment, and it is difficult to deeply integrate the industry to process unstructured data

In addition, since the main users of such systems are public relations practitioners of enterprises, they generally lack industry expertise and experience in data processing, and it is difficult to extract useful information through visualization results based on raw data, thus making accurate judgments difficult Therefore, the final judgment of the enterprise on risk still needs to be evaluated based on the person in charge's own experience.

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