经济新闻:从数据聚合到数据挖掘  

Economic News:from Data Aggregation to Data Mining

作　　者：肖鲁仁[1] XIAO Lu-ren(School of Journalism and Communication,Hunan Normal University,Changsha,Hunan 410081,China)

机构地区：[1]湖南师范大学新闻与传播学院,湖南长沙410081

出　　处：《湘潭大学学报（哲学社会科学版）》2023年第1期189-192,F0003,共5页Journal of Xiangtan University:Philosophy And Social Sciences

基　　金：湖南省哲学社会科学基金项目“大数据背景下经济新闻报道的创新研究”(20JD046)阶段性成果。

摘　　要：随着互联网技术的迅速发展,大数据时代已然到来。经济新闻的数据运用将实现从简单聚合少量数据到深度挖掘海量数据并加以综合分析的转变。在此基础上,大数据背景下的经济新闻报道在可视化、关联性、预测性等方面实现创新,同时也面临着数据收集不齐、深度加工不够、数据黑箱和技术冲击下监管困难等问题。With the rapid development of Internet technology,the era of big data has arrived.The application of economic news data will realize the transformation from simple aggregation of a small amount of data to deep mining of massive data and comprehensive analysis.On this basis,economic news reports in the context of big data can achieve innovation in visualization,relevance,and predictability,but simultaneously,they are also faced with such problems as uneven data collection,insufficient in-depth processing,black box data and regulatory difficulties under the impact of technology.

关 键 词：经济新闻 大数据 可视化 

分 类 号：G210[文化科学—新闻学]