Online public opinion popularity value quantitative identification method based on grey correlation analysis

Abstract

The invention provides an online public opinion popularity value quantitative identification method based on grey correlation analysis. An online public opinion hotspot event evaluation index system is set, a gray correlation analysis method is combined, quantitative analysis is performed on the popularity value of the online public opinion hotspot event, and a popularity value sequence of the online public opinion hotspot events in the event duration time period, so a user can conveniently grasp the event hotspot according to the popularity value, and a coping strategy is optimized; and whether the online public opinion hotspot event evaluation index system is set reasonably or not can be verified according to the popularity value, so that a better online public opinion hotspot event quantitative evaluation index system is provided for hotspot event research and analysis under a multi-index system, and optimal hotspot data acquisition and popularity value identification of multiple related events are realized.

Description

technical field [0001] The invention relates to the technical field of network public opinion hotspot identification technology, in particular to a method for quantitatively identifying the heat value of network public opinion based on gray correlation analysis. Background technique [0002] The research on Internet public opinion hotspots is currently mainly concentrated in two directions: one is to study the formation conditions and evolution rules of Internet public opinion hotspots, and to build a popularity evaluation index system, and to propose coping strategies, etc.; second, based on a certain algorithm or model, to realize network The capture and analysis of public opinion hotspots is gradually developing towards the direction of computer automatic discovery and prediction; however, the first direction currently requires a large amount of data for support and requires complex manual analysis, while the second direction is for network public opinion hotspots. The an...

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Problems solved by technology

[0002] The research on Internet public opinion hotspots is currently mainly concentrated in two directions: one is to study the formation conditions and evolution rules of Internet public opinion hotspots, and to build a popularity evaluation index system, and to propose coping strategies, etc.; second, based on a certain algorithm or model, to realize network The capture and analysis of public opinion hotspots is gradually developing towards the direction of computer automatic discovery and prediction; however, the first direction currently requires a large amount of data for support and requires complex manual analysis, while the second direction is for network public opinion hotspots. The analysis and research of China lacks a hotspot evaluation index system, and the necessary support data for hot events is often found from a large amount of data based on algorithms or models. or verify the correctness of the model

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