FORECAST AND ANALYSIS SYSTEM DESIGN OF HOT PUBLIC OPINION BASED ON WEIBO

Under the new situation of the vigorous development of the media, all kinds of social organizations post the public opinion information on various social hot issues by organization authentication, and publishing articles or short videos. Weibo provides institutional authentication to guarantee information sources, and people also use Weibo as an important place for their personal opinions. In this paper, we proposed a scheme to forecast and analyze hot public opinion based on Weibo. We collected data from Weibo first, then dealt with these data for analysis. Multiple Linear Regression model were used to forecast public opinion. It is very useful for many companies and organizations to alert related hot events timely and closely, seize the best time to deal with the crisis, minimize the negative impact, and maintain their own stability.