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Analysis Methods for the Planning and Dissemination Mode of Radio and Television Assisted by Artificial Intelligence Technology

机译:人工智能技术辅助广播电视规划与传播模式分析方法

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摘要

In the context of the development of artificial intelligence (AI) technology, the planning and dissemination of radio and television must not only learn to quickly and deeply process a large amount of content and extract structured information such as classification, themes, tags, and styles from information sources, but also learn to use audience behaviors to explore and discover potential content, jump out of the editor’s subjective vision, and realize personalized content presentation. On the basis of summarizing and analyzing previous research results, this study expounded the research status and significance of the planning and dissemination mode of radio and television, elaborated on the development background, current status, and future challenges of AI technology, introduced the methods and principles of computer vision, natural language processing, semantic analysis, and video generation, discussed the content production, interview, and editing of radio and television, explored the review, archiving, and system solutions of radio and television, proposed the planning strategies for radio and television assisted by AI technology, analyzed the smart distribution, reception, and feedback of radio and television dissemination, discussed the interactive application and virtual reality of radio and television dissemination, analyzed the dissemination mode of radio and television assisted by AI technology, and finally carried out a case application and its analysis. The study results show that AI technology can be used for smart lyrics, smart writing, smart broadcasting, smart translation, smart recommendation, smart stripping, and smart retrieval, and so on. The AI-assisted radio and television planning gives audiences the right to choose news, provides them with more targeted news content by means of data capture and resource integration, and caters to audiences’ all-round and in-depth information needs through a question-and-answer method, innovating dissemination logic and expression approaches, and enhances the audience’s sense of experience and leadership in obtaining information. The AI-assisted radio and television dissemination mode has the advantages of improving the effectiveness of information communication, promoting the optimization and integration of news resources, and enhancing audience stickiness.
机译:在人工智能(AI)技术发展的背景下,广播电视的策划和传播不仅要学会快速、深入地处理大量内容,从信息源中提取分类、主题、标签、风格等结构化信息,还要学会利用受众行为来挖掘和发现潜在的内容, 跳出编辑的主观视野,实现个性化的内容呈现。本文在总结分析前人研究成果的基础上,阐述了广播电视规划传播模式的研究现状和意义,阐述了人工智能技术的发展背景、现状和未来挑战,介绍了计算机视觉、自然语言处理、语义分析、视频生成等方面的方法和原理。 探讨了广电的内容制作、采访、编辑等问题,探讨了广电的审核、归档、系统解决方案,提出了AI技术辅助的广电规划策略,分析了广电传播的智能分发、接收、反馈,探讨了广播电视传播的互动应用和虚拟现实, 分析了AI技术辅助的广播电视传播模式,最后开展了案例应用及其分析。研究结果表明,人工智能技术可用于智能歌词、智能写作、智能广播、智能翻译、智能推荐、智能剥离、智能检索等。人工智能辅助广播电视策划赋予受众选择新闻的权利,通过数据采集和资源整合等方式,为受众提供更具针对性的新闻内容,通过问答方式迎合受众全方位、深入的信息需求,创新传播逻辑和表达方式,增强受众获取信息的体验感和领导能力。AI辅助广播电视传播模式具有提高信息传播效能、促进新闻资源优化整合、增强受众粘性等优势。

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