High-quality information acquisition method and system for analyzing social network information

Abstract

The invention discloses a high-quality information acquisition method and system for analyzing social network information. The method comprises the following steps: S1, presetting a data flow threshold value and a single information repetition threshold value; s2, obtaining a social network information data flow according to the data flow threshold value and the single information repetition threshold value; s3, performing feature quantity extraction on the obtained social network information data flow, and generating a feature quantity set; s4, according to the characteristic quantity set, performing calculating to obtain a quality score, a repeated avoidance score and an independent score of the social network information data flow; and S5, according to the quality score, the repeated avoidance score and the independent score, calculating and obtaining an effectiveness score of the social network information data stream, and obtaining a high-quality social network information data stream. According to the real information extraction method based on effectiveness filtering, the data is rapidly calculated by adopting a calculation mode based on linearity, and low-quality information and real and effective information can be filtered for subsequent analysis and use.

Description

technical field [0001] The present application relates to the technical field of interconnected information processing, and in particular to a high-quality information acquisition method and system for analyzing social network information. Background technique [0002] With the development of information technology, social network is an important and efficient information transmission platform, and more and more people participate in it. Through this platform, individuals can expand contacts and obtain information on the Internet, while the main focus of enterprises is to find consumers, analyze consumers, understand consumers, and achieve the most concise and rapid communication with consumers. Enterprises use data analysis to find the circle of consumers, listen to the voice of this circle, and use opinion leaders to further expand the information that the enterprise wants to convey, radiate the entire circle, and finally attract more loyal consumers. [0003] When an ent...

AI Technical Summary

Problems solved by technology

However, there are inherent problems in the information analysis of social networks. First, the social network is full of false information and low-quality information. The unified observation and understanding of all information cannot reflect real problems; secondly, due to the large number of participants, the information It is unbounded, and information can expand infinitely in the network, and even finally affect reality. Such a large amount of original information is difficult to fully understand and effectively extract, and is ultimately used to assist decision-making

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