Developing a Predictive Model for Movie Valuation Using Data Mining Techniques

Abstract

With the rapid advancement of the social economy, film and television culture has become an integral component of public life in China due to its widespread accessibility and appeal. To enhance the overall quality of films and optimize resource allocation within the industry, it is essential to conduct thorough research on the value attributes of films and establish a comprehensive value prediction system. By employing deep learning and data mining technologies for film and television value prediction, relevant information regarding film and television attributes can be extracted. This approach facilitates the concretization and informatization of film and television art, leveraging technology to support the film and television market in nurturing outstanding works.