Visualization of Social Media Public Opinion Data Based on Intelligent Data Analysis

Abstract

Public opinion research plays an important role in crisis public relations, public opinion guidance and other fields. At present, the Internet has become the main position for the public to publish articles and comments. However, how to identify the emotional tendency and the mode of emotional transmission in online education public opinion is a challenge. Especially in the multi-media platform, comparative analysis of the characteristics of education public opinion sentiment is more important Hot spots. In view of this challenge, this paper designs and implements the education public opinion emotion visualization system. Firstly, according to the discussion with the target users, the demand of sentiment analysis of educational public opinion is defined; secondly, the emotion recognition algorithm is used to identify the text emotion, and the emotion propagation algorithm is proposed according to the emotion propagation model; then, multiple interactive views are designed to allow users to carry out comparative analysis of multimedia platform. The experimental results show that the visualization system designed in this paper can meet the needs of users, and can support the media platform selection in public opinion guidance and crisis public relations.