摘要
利用公有云服务的灵活性和成本优势,利用开源工具配合自主开发的功能搭建大数据分析平台,以新浪微博为试点,从主流互联网社区获取影视、动画、绘画等美育相关话题的评论数据,对评论关键词进行汇总分类和筛选,得出当下互联网用户对某作品的评价分布及趋势,以此为依据对高校美育课程进行针对性设计,从而提高课程内容的生动性以及学生参与积极性,并有助于讲师在讲授专业知识的同时融合课程思政。
Taking advantage of the flexibility and cost advantages of public cloud services,using open source tools and self-developed functions to build a big data analysis platform,taking Sina Weibo as a pilot,to obtain comment data on topics related to aesthetic education such as movies and television works,animation,and painting from mainstream Internet communities,summarize,classify and filter the comment keywords to acquire the current Internet users’evaluation distribution and trend of a certain work.The analysis result will be the reference for the content of college aesthetic education curriculum designing,so as to improve the vividness of the course content and the enthusiasm of students to participate,and it is helpful for lecturers to integrate course ideology and politics while teaching professional knowledge.
作者
牛东
吕思思
NIU Dong;LV Sisi(Tianjin University of Traditional Chinese Medicine,Tianjin 301617)
出处
《软件》
2022年第5期38-41,52,共5页
Software
基金
天津中医药大学2020年教育教学改革研究课题《新时代高校美育教育与思想政治教育融合发展的路径研究——以天津中医药大学为例》(2020JY108)。
关键词
公有云
大数据
爬虫工具
高校美育
课程思政
public cloud
big data
crawling tool
college aesthetic education
course ideology and politics
