Weibo Public Opinion Guidance Strategy Under Dual Vision of Sentiment Analysis and Image Restoration Theory

Abstract

The grievance subject coping strategies often affect the public's emotional changes, thus affecting the direction of lyrics. Therefore, it is of practical significance to study the public opinion guiding strategy from the emotional aspect. This paper establishes a research model combining emotion analysis and image restoration theory. Firstly, it uses text analysis to deal with Weibo public opinion, and initially understands the public's concern about the microblogging public opinion. Then, using sentiment analysis as the technical basis, it explores public microblogging public opinion. The emotional trend, and finally combined with the image restoration theory, the tactical choice of the lyrical subject to guide the lyrics. Through the combination of empirical analysis and analysis, the feasibility of the relevant theory is proved, and the coping strategies are proposed for the main body of the public opinion to guide the public opinion.