大数据文本挖掘在广播电视中的应用与探索

Big Data and Text Mining for Radio and Television Industry

本文在提出一种基于多种人工智能技术的媒体创新平台,详细讨论了广电大数据文本挖掘在传统广播电视领域中的应用与探索。提出了业界首个基于五大模块(依据工作流的处理方向,依次为互联网数据检测与收集模块、数据筛选与预处理模块、数据分析与特征提取模块、数据统计与分析模块、以及数据可视化模块)的广电大数据分析平台,并给出了技术框架设计与各模块的实现框图,给出了最终平台实现的数据可视化界面。

This paper proposes a novel media innovation platform based on artificial intelligent technologies, and elaborates the way of applying big data analysis into the traditional TV and broadcasting area. In particular, this paper presents a first attempt in this area, on building such a data analysis platform, which consists of five modules, including internet data detection and collection module, data filter and pre-processing module, data analysis and feature extraction module, data statistics and analysis module, and data visualization module. The system architecture and module implementation are also discussed in detail. In the article data visualization interface is given finally.