%0期刊文章%@ 2369-2960 %I JMIR出版物%V 7% 卡塔尔世界杯8强波胆分析N 12% P e31540% T 2019冠状病毒病大流行期间克罗地亚在线媒体的信息监测:利用自然语言处理的一年纵向研究%A Beliga,Slobodan %A martinijii - ipovic,Sanda %A mateovic,Mihaela %A petrijevanin vuksanoviic,Irena %A meotroviic,Ana %+里耶卡大学信息系Radmile matejovic 2，里耶卡，51000，克罗地亚，385 51584726，sbeliga@inf.uniri.hr %K COVID-19 %K大流行%K网络媒体%K新闻报道%K信息监测%K信息疫情%K信息流行病学%K自然语言处理%K名称实体识别%K纵向研究%D 2021 %7 24.12.2021 %9原创论文%J JMIR公共卫生监测%G英语%X背景:网络媒体在突发公共卫生事件中发挥着重要作用，是必不可少的传播平台。在COVID-19大流行期间对在线媒体进行信息监控是更好地理解危机传播的重要一步。目的:本研究的目的是基于自然语言处理对网络媒体上的新冠肺炎相关内容进行纵向分析。方法:我们收集了克罗地亚在线媒体在大流行前13个月发表的新闻文章的数据集。首先，我们测试了文章数量与每日新增COVID-19病例数量之间的相关性。其次，通过提取频率最高的词汇，运用Jaccard相似系数对内容进行分析;第三，我们比较了两次大流行期间大流行相关术语的出现情况。最后，应用命名实体识别技术提取最频繁的实体，并跟踪观察期内的变化动态。 Results: The results showed no significant correlation between the number of articles and the number of new daily COVID-19 cases. Furthermore, there were high overlaps in the terminology used in all articles published during the pandemic with a slight shift in the pandemic-related terms between the first and the second waves. Finally, the findings indicate that the most influential entities have lower overlaps for the identified people and higher overlaps for locations and institutions. Conclusions: Our study shows that online media have a prompt response to the pandemic with a large number of COVID-19–related articles. There was a high overlap in the frequently used terms across the first 13 months, which may indicate the narrow focus of reporting in certain periods. However, the pandemic-related terminology is well-covered. %M 34739388 %R 10.2196/31540 %U https://publichealth.www.mybigtv.com/2021/12/e31540 %U https://doi.org/10.2196/31540 %U http://www.ncbi.nlm.nih.gov/pubmed/34739388