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• W4298125152 abstract "With the advent of the era of big data, the TV media industry has begun a new round of survival of the fittest. Some new and original traditional cultural TV programs have successfully attracted the attention of the audience, but some programs have lost the impact of the big data environment and are facing the crisis of revision or suspension. Based on the background of big data and from the macro perspective of society, this article made a specific description and objective analysis of the concept, characteristics, and real development of opera communication and proposed an understanding. On this basis, through the analysis of actual cases and data, combined with the dissemination of opera and the new and original traditional cultural TV programs in recent years, this article analyzed the impact of big data on the dissemination of opera and further explored the survival state of opera dissemination in the context of the era of big data, and the experiment was to crawl the data of 10 traditional Chinese opera categories in the Shipin Opera Network through web crawler. It was sorted according to the amount of play, the top 10 songs of each genre and their play volume were selected, and then the Internet correlation between the genres was quantified. And a big data analysis of the traditional opera program “Liyuanchun” was carried out. The experimental results showed that the show was broadcast 65,984 times a day, the highest broadcast volume in a week. At the same time, according to the big data analysis of users of self-media opera dissemination, the majority of the audiences had a high school or technical secondary school education, which accounted for 27%, followed by junior high school, which accounted for 18.7%. It can be seen that the current Chinese traditional culture TV programs have a good development trend and a lot of room for development." @default.
• W4298125152 created "2022-10-01" @default.
• W4298125152 creator A5030836890 @default.
• W4298125152 date "2022-09-30" @default.
• W4298125152 modified "2023-09-26" @default.
• W4298125152 title "BDA of the Dissemination of Opera in the Internet Self-Media Environment" @default.
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• W4298125152 doi "https://doi.org/10.1155/2022/3096890" @default.
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