Predicting the degree of film transmission based on deep learning

Bing Wu, Jie Liu, Shuwu Zhang
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引用次数: 0

Abstract

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.
基于深度学习的电影传播程度预测
随着经济全球化进程的加快,近年来,中国电影的市场票房和观影人数呈现出井喷式的发展。一部电影在大众化中的受欢迎程度直接关系到电影的票房。关于电影传播预测的学术研究屈指可数。很难为影片的投资和拍摄提供可靠的参考。对此,本文对豆瓣上20万部电影数据进行分析,利用数据挖掘技术对电影数据进行挖掘。进行了相关性研究。最后,利用深度学习方法对电影数据进行训练,分析损失函数,证明了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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