摘要
探讨人工智能技术在电视新闻稿件智能编写中的应用。分析智能编写的需求,总结自然语言处理、机器学习和数据挖掘技术在语义理解、关键信息提取及文本生成等方面的应用。以某电视台为例进行案例分析,采用深度学习语音识别、知识图谱及Seq2Seq生成等技术构建智能编写系统。实验表明该系统在编写效率、内容质量等方面优于传统人工编写模式。
This paper discusses the application of artificial intelligence technology in intelligent writing of television news articles.This paper analyzes the requirements of intelligent writing and summarizes the applications of natural language processing,machine learning and data mining in semantic understanding,key information extraction and text generation.Taking a television station as an example,the intelligent programming system is constructed by using deep learning speech recognition,knowledge graph and Seq2Seq generation.Experiments show that the system is superior to the traditional manual mode in writing efficiency and content quality.
作者
张霞
ZHANG Xia(Longnan city Convergent Media Center,Longnan 746000,China)
出处
《电视技术》
2024年第9期99-101,共3页
Video Engineering
关键词
电视新闻
智能编写
大数据
television news
intelligent writing
big data