摘要
目的:基于微博数据挖掘,分析微博平台汇集的体育舆论与映射出的我国体育发展状况,并针对发展危机探寻应对之策。方法:以体育类微博数据为调查对象,以Python爬虫程序进行数据挖掘为主要方法,通过两种途径与一种模型,获取数据并展开分析。结果:1)在疫情爆发前后,"体育"与"疫情"微博指数变化趋势高度相似,在疫情重压下民众对于体育信息高度关注。2)体育类微博词频排名前四的关键词为体育视频、体育比赛、疫情与武汉,社会关注度呈现出明显增高又持续走低的趋势,随着疫情防控进入常态化,体育信息的热度与互动度降低。3)体育类微博内容主要涉及体育政策、体育健身、体育赛事与体育教学4个领域,呈现出10个主题。结论:后疫情时代要积极构建体育领域的数据治理模式,提升体育治理效能。我国体育发展态势整体向好,但存在着一定的危机与局限,仍要予以重视与警惕。
Objective:Based on the microblog data mining,this is to analyze the sports public opinion collected by the microblog platform and explore countermeasures for development crisis.Methods:Using sports microblog data as the survey object and Python reptile program as the main method,two ways and one model were used to obtain data and carry out analysis.Results:1)Before and after the outbreak,the trend of change of"sports"and"COVID-19 pandemic"microblog index was highly similar,and the public paid great attention to sports information under the pressure of the COVID-19 pandemic.2)The top four keywords of sports microblog frequency are sports video,sports competition,COVID-19 pandemic and Wuhan,the social attention shows a clear increase and continue to decline trend,with the COVID-19 pandemic prevention and control into normal,sports information heat and interaction decreased.3)Sports micro-blog mainly involves sports policy,sports fitness,sports events and sports teaching 4 areas,showing 10 themes.Conclusion:In the post-COVID-19 pandemic era,a data governance model in sports should be actively constructed to improve the efficiency of sports governance.China's sports development trend is generally good,but there are certain crises and limitations,we should still pay attention to and vigilance.
作者
张锦
周丽
姚琼
段全伟
ZHANG Jin;ZHOU Li;YAO Qiong;DUAN Quan-wei(China Wushu College,Beijing Sport University,Beijing Beijing 100084,China;School of Physical Education,Zhengzhou University,Henan Zhengzhou 450000,China;Wushu College,Guangzhou Sport University,Guangdong Guangzhou 510500,China)
出处
《广州体育学院学报》
北大核心
2021年第5期19-24,共6页
Journal of Guangzhou Sport University
基金
国家社会科学基金项目(编号:19BTY016)。