Analysis Of Big Data Content Production Based On Netease News Client

With the development of mobile Internet technology,the main channel for audience acquisition has gradually changed from a PC to a mobile mobile client.The Netease news client is developed by the public portal Netease based on its own content features,and it has a large user base.This article focuses on the data production and application of the client.Although its information dissemination model is similar to that of traditional media,its overall planning,production,and marketing of products have been very different from traditional media.Traditional media is responsible for the production of specific content and distributed by clients.Let us see the advantages of new media and the lack of traditional media.In the era of big data,the available data hidden in the data content occupies an important position,so data "availability" is an important condition that an event can become a topic.In this context,first obtain the corresponding data,and then find valuable clues through the data,making it the news subject.In addition to the unique "availability" of data news,the visualization of large amounts of data and traditional news also presents a major impact on news topics.Media integration and even media integration have become the trend of the times.The mechanism of the new media in individual social and social development is self-evident.However,the demonstration phenomenon of the media may not be satisfactory.This article uses empirical research,conducts content analysis,literature research,and data statistics,and conducts macro-analysis based on the political,economic,and cultural environment in the context of China.It strives to draw objective and detailed conclusions,and analyzes in detail the transformation of foreign media and the development of new media.Road,combined with our country's special context,analyzes the Netease news workflow,compares the traditional media based on homogenous content with the new media title PV data,and analyzes live broadcast technology and data through mobile live GO,and then improves The TF-IDF model discovery is more applicable to the evolutionary relationship of news events,realizes the automatic generation of relation matrix from crawler crawling to event evolution,and provides feasible suggestions for information production of new media.