摘要
随着数字媒体的快速发展,信息的产生与传播速度快速提升,传统的新闻发布系统在处理大量数据与实时更新方面显得力不从心。人工智能技术,尤其是自然语言处理和机器学习,为自动化新闻内容的生成、审核及发布提供了可能。文中设计了一个基于人工智能的数字媒体新闻信息发布系统,探讨了人工智能技术在系统中的应用,包括自动化内容生成和实时内容审核,分析了系统设计的关键要素,如新闻发布功能的需求与信息发布系统的架构,并通过数字媒体系统的效果评估与实际测试,展示了系统的性能和潜在改进方向。
With the rapid development of digital media,the speed of information generation and dissemination has greatly improved.Traditional news release systems are unable to handle large amounts of data and real-time updates.Artificial intelligence technology,especially natural language processing and machine learning,has made it possible to automate the generation,review,and publication of news content.This paper designs a digital media news information release system based on artificial intelligence,and explores in detail the application of artificial intelligence technology in the system,including automated content generation and real-time content review.The key elements of the system design are analyzed,such as the requirements for news release functions and the architecture of the information release system.Through the evaluation and practical testing of the digital media system,the performance and potential improvement directions of the system are demonstrated.
作者
林苏美
LIN Sumei(Chengdu University of Arts and Sciences,Chengdu 610000,China)
出处
《移动信息》
2024年第11期238-240,共3页
Mobile Information
关键词
人工智能
数字媒体新闻
信息发布
系统设计
Artificial intelligence
Digital media news
Information release
System design