摘要
通过数据挖掘了解民众对全民接种新型冠状病毒肺炎疫苗的看法和情绪,为心理疏导、宏观调控提供依据。通过爬取原创微博,结合Single-pass和K-Means++算法聚类出微博主题,对疫苗市场、疫苗变异、疫苗科普等11个聚类出的主题分别进行情感分析,得出情感极性。分析研究显示,绝大多数类别的情绪为正向积极,但在涉及疫苗的不适宜人群时,负面情绪微博数量较其他类别明显增多,应针对此类人群进行心理疏导,同时新冠疫苗临床研究数据的不断完善以及疫苗上市监测和评价数据的增加也会让形势更明朗,负面情绪也会降低。
Through data mining,the public’s views and emotions on the nationwide vaccination of COVID-19 vaccine are understood to provide a basis for psychological counseling and macro-control.By crawling original micro-blogs and clustering micro-blog topics with Single-pass and K-Means ++ algorithm,11 clustering topics such as vaccine market,vaccine variation and vaccine science popularization were analyzed respectively to obtain emotional polarity.Analysis shows that the majority of the categories of emotions are positive,but when it comes to the unsuitable group of vaccines,the number of negative emotions is significantly increased compared with other categories.Psychological counseling should be carried out for these groups.At the same time,with the continuous improvement of vaccine clinical research data and the increase of vaccine marketing monitoring and evaluation data,the situation will be clearer,and the negative emotions will be reduced.
出处
《信息技术与标准化》
2022年第3期74-78,共5页
Information Technology & Standardization
基金
国家语委中心“多民族语言文本敏感信息监测与预警技术研究”项目,项目编号:ZDI135-98。
