Abstract
With the rapid development of the Internet and the movie industry, online reviews have shown explosive growth. Online review data contains a lot of valuable information, through text mining techniques such as the LDA topic model to analyze this information, to help the movie creators to understand the public’s viewing needs, movie production team to reflect on the shortcomings in the production process, in order to promote the development of the movie industry to provide a reference. In this paper, the Douban online review data of the MCU are used as the research object, and the Chinese text is analyzed based on the LDA topic model. Firstly, data collection and preprocessing are carried out with various software. Then, the word cloud is used to visualize the core information in the online review data, and then the LDA topic model is used for a deeper semantic mining. The research results show that the rich and varied plot design, the audiovisual feast brought by advanced digital technology, the clever connection of bonus scene, the unique characters and actors and a super-hero’s commercial movie mode are closely related to the success of the MCU.
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