A study on the relationship between visual communication and graphics in a new media-oriented logistic regression model

Abstract

Abstract In this paper, we use a logistic regression model to determine the factors of regional visual communication susceptibility evaluation with new media orientation and solve the joint confidence band level independently. The verdict results of the graphical-textual feature space define the relevant symbols of graphical-textual relationships. The confidence estimation parameters of the candidate graphic texts are determined, and the textual characteristics of graphic heterogeneity are mapped to the image unified feature space. The results show that the graphical text symbolization sequences of the design model in this paper are mainly distributed on the 0-2m·s−2 point interval, and the accuracy rate of the news expression effect reaches 82.3%. It indicates that the design model in this paper can design a new type of graphical-textual relationship and fully exploit the functions of pictures and texts.