How can news fusion not only present the overall phenomenon and big data scenes, but also show the fate of micro-characters?

Integrating news can not only present the overall phenomenon and big data picture, but also show the fate of micro-characters. Details are as follows:

1. Baidu ERNIE Bot Open: Baidu ERNIE Bot is a semantic understanding model developed by Baidu, which automatically generates text responses by understanding user input. This openness means that Baidu will allow users and developers to use ERNIE Bot's functions, thus applying semantic understanding technology to more scenarios.

2. Newly reconstructed AI native application: This means that Baidu has comprehensively improved and upgraded its AI application to enhance the user experience and functional performance. Specifically, the application may be improved in interface design, function expansion and performance optimization to better meet the needs of users.

Specific explanation:

Classify and process information according to the characteristics of their respective media and audiences, give full play to their respective communication advantages, and spread it to specific audiences in a targeted manner. The concept of converged news was first practiced by two media companies, Chicago Tribune Company and Media Integration Group. They explored different development models for the development of converged news.

China news media also need to transform into comprehensive news. Due to the promotion of network technology and digital technology, the boundary between traditional media and emerging media has become increasingly blurred, and media convergence has gradually formed a global trend. In this context, "converged news" came into being.

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Taking "The Road to Dialysis under Epidemic Situation: Hemodialysis Center Closed, Patients Gradually Transferred" as an example, the article is divided into four sections, each with a protagonist. Based on their experiences during the epidemic period, * * * reflects the medical treatment methods of ordinary dialysis patients and "positive" patients after the dialysis room was forced to close, explains the reasons why the consultation room was forced to close, and reflects on it at the same time.

In these four different sectors, each protagonist "has his own division of labor" and "retires" after completing his functions, which reflects the fate of all kinds of micro-personnel in the background, and presents the overall phenomenon and big data picture of dialysis road under the epidemic situation.