论文标题
Co.Me.T.A。 -COVID-19媒体文本分析。用于媒体监视的仪表板
CO.ME.T.A. -- covid-19 media textual analysis. A dashboard for media monitoring
论文作者
论文摘要
本文的重点是追踪大众媒体，尤其是报纸，如何解决有关传染的遏制或流行病学进化的解释的问题。我们提出了一个交互式仪表板：Co.Me.T.A ..。在危机期间，要塑造最佳的交流策略以应对关键情况很重要。在这方面，监视大众媒体和社交平台传达的信息很重要。仪表板允许探索提取的内容的挖掘，并研究将主要讨论主题联系起来的词汇结构。仪表板将四种方法合并在一起：文本挖掘，情感分析，文本网络分析和潜在主题模型。在一部分文档中获得的结果不仅显示了与健康相关的语义维度，而且还扩展到社会经济方面。
The focus of this paper is to trace how mass media, particularly newspapers, have addressed the issues about the containment of contagion or the explanation of epidemiological evolution. We propose an interactive dashboard: CO.ME.T.A.. During crises it is important to shape the best communication strategies in order to respond to critical situations. In this regard, it is important to monitor the information that mass media and social platforms convey. The dashboard allows to explore the mining of contents extracted and study the lexical structure that links the main discussion topics. The dashboard merges together four methods: text mining, sentiment analysis, textual network analysis and latent topic models. Results obtained on a subset of documents show not only a health-related semantic dimension, but it also extends to social-economic dimensions.
