京津冀协同发展报纸新闻主题发现及其关联分析

京津冀协同发展上升为国家战略,以报纸为代表的大众媒体对其进行密切而又广泛的报道。为了准确把握媒体报道主题的规律和特点,需要结合时间维度从大规模新闻文本的内容层面进行主题关联分析。以2014—2020年中国主流报纸媒体对京津冀协同发展的报道为研究对象,将数理统计、主题模型、主题关联和文本分析等方法相结合,分析了京津冀协同发展的主题分布、主题强度、主题关联关系,以"京津冀文旅产业协同发展"主题为例进行主题关联演化分析。结果表明:京津冀协同发展的报道主题呈多样化特点,报道时间分布规律与国家重要事件相契合,发现了政策宣传、产业转移和交通一体化等十大主题,说明新闻报道主题框架分布与国家政策推进重点相一致。研究结果进一步揭示了本文方法对国家战略新闻文本信息分析的有效性。

Investigating the Topics Discovery and Correlation Analysis of Newspaper Reports on the Coordinated Development of Beijing-Tianjin-Hebei

As a national strategy, the increasing and extensive reports of the Coordinated Development of Beijing-Tianjin-Hebei are presented in the mass media, especially in newspaper. In order to accurately grasp the regularities and characteristics of the topics in newspaper reports, correlation analysis of the contents in the large-scale texts is conducted from the temporal dimension. Adopted the combined methods of mathematical statistics, topic models, topic correlation, and text analysis, the newspaper reports of the Coordinated Development of Beijing-Tianjin-Hebei from 2014 to 2020 in the mainstream domestic newspaper were used to investigate the topic distribution, topic intensity and topic correlation. The topic relevance and evolution was analyzed in a case study of "Coordinated Development of Beijing-Tianjin-Hebei Cultural and Tourism Industry". The results show that the topics of reports are diversified and the regularities in the time distribution of reports are in line with important national events. It is found that there are ten major topics, including policy publicity, industrial transfer, transportation integration, etc., which indicates that the distribution of the topical framework of reports is consistent with the key points of national policies. The validity of the methodology employed in this study for the news text analysis of national strategies is also revealed.