Deep Learning-Based Movie Script Generation Models and Evaluation

Abstract

The main content of this article is the research on the movie script generation model based on deep learning technology and its potential value in the film industry and artificial intelligence field. First, the introduction introduces the research background, clarifies the goal of building a movie script generation model with deep learning as the core, and introduces the current research status of script generation models at home and abroad.The introduction to related technologies section provides a detailed analysis of the basic principles of deep learning and the format and characteristics of movie scripts, as well as how deep learning can provide new perspectives for film creation. In the design and implementation of the movie script generation scheme, the process of data collection and preprocessing, model selection and construction strategies, and model training and optimization methods are focused on.In order to compare the results of the models, both qualitative and quantitative analysis methods were used in the experiment. By displaying script samples generated by the model, the characteristics of the model were qualitatively analyzed. The results of the two models were quantitatively analyzed through the BERT classifier. Finally, this article also explores the potential of the model in future film creation and artificial intelligence, while also pointing out the limitations of current technology and possible development directions, and discussing social impacts and ethical considerations.