The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted for nearly two years and caused unprecedented impacts on people's daily life around the world. Even worse, the emergence of the COVID-19 Delta variant once again puts the world in danger. Fortunately, many countries and companies have started to develop coronavirus vaccines since the beginning of this disaster. Till now, more than 20 vaccines have been approved by the World Health Organization (WHO), bringing light to people besieged by the pandemic. The promotion of COVID-19 vaccination around the world also brings a lot of discussions on social media about different aspects of vaccines, such as efficacy and security. However, there does not exist much research work to systematically analyze public opinion towards COVID-19 vaccines. In this study, we conduct an in-depth analysis of tweets related to the coronavirus vaccine on Twitter to understand the trending topics and their corresponding sentimental polarities regarding the country and vaccine levels. The results show that a majority of people are confident in the effectiveness of vaccines and are willing to get vaccinated. In contrast, the negative tweets are often associated with the complaints of vaccine shortages, side effects after injections and possible death after being vaccinated. Overall, this study exploits popular NLP and topic modeling methods to mine people's opinions on the COVID-19 vaccines on social media and to analyse and visualise them objectively. Our findings can improve the readability of the noisy information on social media and provide effective data support for the government and policy makers.
翻译:2019年科罗纳病毒病毒(COVID-19)的爆发已经持续了近两年,对全世界人民的日常生活产生了前所未有的影响。更糟糕的是,COVID-19-Delta变异体的出现再次使世界陷入危险。幸运的是,许多国家和公司自这场灾难开始以来开始研发科罗纳病毒疫苗。到目前为止,世界卫生组织(卫生组织)已经批准了20多种疫苗,为被这一流行病包围的人带来了光明。在全世界推广COVID-19疫苗也带来了许多关于疫苗不同方面的社会媒体讨论,例如功效和安全。然而,没有多少研究工作来系统地分析公众对COVI-19-19疫苗的看法。在本研究中,我们深入分析了与Twitter上的科罗纳病毒疫苗有关的推特,以了解有关国家和疫苗水平的趋势及其相应的感情两极分化。结果显示,大多数人对疫苗的有效性有信心,愿意接种疫苗。相反,负面的推文往往与疫苗短缺、19-19种疫苗的公众意见的准确性相关联。在对NVI的准确性研究之后,还分析了关于N-P媒体的准确性分析。关于N-P的准确性分析。关于N-V的争论,以及我们关于N-V-V-V-V-L的理论和可能的社会-研究。