Newspapers are trustworthy media where people get the most reliable and credible information compared with other sources. On the other hand, social media often spread rumors and misleading news to get more traffic and attention. Careful characterization, evaluation, and interpretation of newspaper data can provide insight into intrigue and passionate social issues to monitor any big social incidence. This study analyzed a large set of spatio-temporal Bangladeshi newspaper data related to the COVID-19 pandemic. The methodology included volume analysis, topic analysis, automated classification, and sentiment analysis of news articles to get insight into the COVID-19 pandemic in different sectors and regions in Bangladesh over a period of time. This analysis will help the government and other organizations to figure out the challenges that have arisen in society due to this pandemic, what steps should be taken immediately and in the post-pandemic period, how the government and its allies can come together to address the crisis in the future, keeping these problems in mind.
翻译:另一方面,社交媒体常常散布谣言和误导性新闻,以引起更多的交通量和注意力; 仔细描述、评价和解读报纸数据,可以使人们深入了解任何重大的社会事件,从而监测各种诡计和强烈的社会问题; 这项研究分析了与COVID-19大流行有关的大量孟加拉国时空报纸数据; 方法包括数量分析、主题分析、自动化分类和对新闻报道的情绪分析,以便了解孟加拉国不同部门和地区一段时间内COVID-19大流行的情况; 这一分析将有助于政府和其他组织查明由于这种流行病而在社会中带来的挑战,应立即和在大流行后时期应采取哪些步骤,政府及其盟友如何共同应对未来的危机,并铭记这些问题。