Abstract
The emergence of news communication platform is the product of media convergence, and platformization has become one of the mainstream trends of media convergence. In recent years, big data has had a great impact on academia. In the field of news communication, there are also many articles discussing the transformation of news communication from the perspective of big data. The arrival of big data era has a comprehensive impact on the media. It not only subverts the information production and communication of traditional media, but also has a great impact on online media. Therefore, this paper studies and analyzes the intelligent multimedia news communication platform (MNCP). This paper analyzes the operation mechanism and development trend of the intelligent MNCP, as well as the problems faced by the multimedia news platform in the intelligent era, and then discusses the intelligent MNCP based on Machine Learning (ML) and data fusion technology (DFT). By using DFT to test the contact ratio of different forms of audiences to different media and the timeliness and accuracy of the news communication platform to obtain the latest news materials. It verifies the effectiveness of applying ML and DFT to intelligent MNCP, which is of great significance for news communication.
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