Research of Various Approaches to Forming Book Covers Based on Semantic Text Analysis

The article represents the use of various methods of text analysis in natural language processing tasks and the extraction of key information from it. In addition, various approaches to image generation using machine learning technologies are discussed, as well as the use of various methods for subsequent image styling. The research aims are to develop an algorithm and technology for generating the cover of a printed book based on the analysis of the text of the work. The research is divided into several main stages. The first stage is searching for the necessary information. The next step was to use text analysis methods to extract the main information from it. Next, generating images using machine learning technologies or parsing images for further placement on the cover. In the end, images are edited and stylized. Different approaches were applied for each of the stages, and the results were used to select the most appropriate one.