Method for predicting and visualizing emotion cognitive ability of network individual or group

Abstract

The invention relates to a method for predicting and visualizing the emotion cognitive ability of a network individual or group and belongs to the field of Internet emotion information mining and analyzing. According to the method for predicting and visualizing the emotion cognitive ability of the network individual or group, common emotion words which are recorded in an existing emotion dictionary are integrated, new network emotion words and expression characters which have the emotional tendency and exist in the network environment are considered, emotional elements on a social media platform are included to the maximum extent, and an emotion word body bank is constructed on the basis; the position of an emotion bifurcation of the network individual is determined, the level of the emotion cognitive ability of the individual is described through an emotion cognitive ability index, and the differences between the emotion bifurcations of multiple network individuals are displayed in a visualized mode. By the adoption of the method for predicting and visualizing the emotion cognitive ability of the network individual or group, the evolution law of the emotion cognitive ability of the network individual or group can be disclosed, particularly, the dynamic emotion changing process and the critical point of sudden emotion changing of typical network individuals or groups can be predicted, relevant managers are assisted in reasonably guiding network consensus, and a harmonious network environment is created.

Description

technical field [0001] The invention relates to a method for predicting and visualizing emotional cognitive ability of a network individual or group, and belongs to the field of Internet public opinion information mining and analysis. Background technique [0002] With the rapid development of social network technology and applications, people are becoming more and more accustomed to sharing their emotions, attitudes, opinions and opinions through the Internet. Among them, emotion is the decisive force leading the latter three, because emotion is people's inner psychological reaction and Feelings, such as happiness, anger, sadness, joy, etc., will significantly affect people's decision-making behavior. At the same time, Internet individuals with a certain degree of opinion-guiding ability and topic responsiveness influence the views and attitudes of their followers through the Internet platform. For example, in movie marketing activities, well-known artists often have a gre...

AI Technical Summary

Problems solved by technology

None of the above studies and subsequent related studies proposed how to carry out emotional analysis and predictive visualization models for network individuals or groups in In

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