Predicting the degree of film transmission based on deep learning

This With the acceleration of economic globalization, in recent years, the market box office and movie attendants of Chinese films have shown a spurt of development. The popularity of a movie in popularization is directly related to the box office of the film. There are only a handful of academic researches on the prediction of film propagation. It is difficult to provide a reliable reference for the investment and filming of the film. In this regard, this paper analyzes the data of 200,000 film data on Douban, and uses data mining technology to film data. The association study is carried out. Finally, the deep learning method is used to train the film data to analyze the loss function, which proves that the method is feasible.