A Deep Learning-Based Study on the Graphic Semantic Analysis of the Children’s Picture Book “Jangal”

Abstract

Jangal contains the rich literary value and aesthetic value, which has important research significance. Through the application of deep learning technology in graphic semantic analysis, this paper specifically describes the extraction method of graphic features in the children’s picture books of “Jianggeer”. Then, the BERT framework is used as the basis to construct the graphic semantic analysis model JCDB-BRET in this paper, and it is applied to the actual analysis of the graphic semantics of the children’s picture books of “Jianggeer” after training. In this paper, the model is used to recognize all the images in the picture book and branch out their semantics to be expressed, and the proportion of geographic images in the picture book is the highest at 36.55%. The rationality and pursuit of a harmonious home in “Jianggeer” are shown through the visualization of Benba Ledu, where Jianggeer lives. The textual semantics focuses on analyzing the praise words in the picture book of Jianggeer, and the description of the “fragrance” on Jianggeer’s body and the “warm fragrance” on his neck are used as examples to elucidate the aesthetic tendency of the Mongolian people embodied in the text.