Measurement and Trend Analysis of New Media Coverage Topics Based on Comment Big Data Mining

Abstract

With the rapid development of Internet, new media news has gradually become the most concerned information source of new media people. New media public opinion is a force that cannot be ignored. It needs monitoring and guidance. The research on hot topic discovery and trend analysis can timely find social hot topics and analyze the trend of topics, which is conducive to grasp the trend of public opinion, so as to correctly guide and maintain social stability. At the same time, the emerging industry of new media has sprung up like mushrooms after a rain, with a rapid momentum. With the advent of the era of big data, the development of new media presents characteristics and advantages that are different from traditional media, but we should also note that the era of big data has both advantages and disadvantages for the development of new media. In this paper, LDA and ARIMA models can be used to calculate and analyze the popularity measurement and trend analysis of new media reports under the background of big data mining. The model designed in this paper has a conclusion: the missed detection rate is reduced by 75.4%. Through experiments, it is found that the accuracy of heat topic detection of the model designed in this paper can reach 84.6%. In trend analysis, the first stage of transmission is called the incubation period. Then after a certain critical point, it will come to the outbreak period. The outbreak period lasted for a period of time, entered a period of plateau, and finally came to a subsidence period.

Multimedia Data Mining and Processing for News Source Attribution

“…The new developments that are associated with semantic web (Web 3.0) technologies, which have already started to be adopted by media organisations around the world were discussed. Shao [61] applied LDA and ARIMA models to compute and analyze the popularity measurement and trend analysis of new media reports under the big data mining background. The model designed showed that the missed detection rate was reduced by 75.4%.…”

Analysis and Development Trend of Traditional Media and New Media Communication

“…However, some traditional media lack sufficient human, financial and technical support in the process of promoting media integration, making media integration difficult. At present, the integration of media seems to have been achieved, specifically due to the fundamental drive of technology and capital, but because the human, financial and technical support is not in place, the media integration is not deep enough, but only superficial integration [8]. True integration is the deep integration of ideas, technologies and content.…”