2023″数维杯”国际大学生数学建模挑战赛（附2021年优秀论文）

01

（2021年论文展示）

（2021年D篇论文展示）

1 Introduction
1.1 Background
With the increase in cultural consumption demand of our people, the number of cinemas and screens continues to increase, and my country’s film industry continues
to show a prosperous scene. The box office of a movie not only reflects the economic value created by the movie for investment companies from the positive side, but also reflects the artistic quality and business strategy of the movie from the side. It is an important factor in measuring the success or failure of a movie. This naturally reflects
the market demand and investment attractiveness of film works. If we can predict in advance the acceptance and profitability of film products in the market, it will have a huge impact on the decision-making in all links of the film industry chain. Therefore, accurate prediction of movie box office undoubtedly has important practical
significance for risk control and decision-making.
1.2 work
Task 1: Choose effective predictive features that measure the box office of movies, cluster and classify the movies in the provided data set according to the classification features, and verify the effectiveness of the classification.
Task 2: Establish a movie box office prediction model that has a positive impact on the movie box office, and give a classification model for the box office of the movie market based on the collected data. And give the estimated box office forecasts andoverall box office forecasts for each category in advance.
Task 3: Collect movie online public opinion evaluation data, establish an algorithm to identify the positive and negative scores of online public opinion, and then establish a model for extracting important indicators such as subject terms and topic classification. Secondly, establish an analysis of the correlation between online public opinion and box office and the box office Finally, according to the problem and current situation, design ideas and specific methods, determine the navy movie scoring network.
Task 4: Analyze the impact of the new crown virus on the movie box office, realistic impact and future predictions. Use the provided data to analyze the impact of different audience needs (30%, 50%, 75%) on movie box office forecasts after the epidemic
has stabilized through models.

2023″数维杯”国际大学生数学建模挑战赛