Evaluation of Application Efficiency of IP Content of Movies Adapted from Online Novels Based on DEA-BP Neural Network

摘要

The film adaptation of online novels is a hot topic and research hotspot in the current film and television industry. Especially with the gradual maturity of China's online literature business model, more and more popular online novels have been put on the big screen and received widespread attention. However, the adaptation of online novels into movies has its own advantages and disadvantages. Most producers are concerned about the return on investment. Some works have been questioned while creating box office myths. Therefore, it is very important to comprehensively evaluate the efficiency of online novels in film adaptation. This article refers to the concepts of "field" and "capital" proposed by Bourdieu to design the evaluation index of the novel adaptation film, using different online novel IP as the research sample, conducting a preliminary evaluation of its adaptation efficiency through the DEA model and screening out effective units, On this basis, the BP neural network is used, combined with the DEA initial evaluation results, to perform multiple evaluations of multiple effective decision-making units, thereby obtaining the ranking results of the efficiency evaluation. Empirical analysis shows that this evaluation model can better adapt to the Cultural characteristics of the novels adapted from the novel, and can achieve complete ranking.