基于混合数据挖掘的大学生计算机技能需求分析
Analysis of College Students’ Computer Skills Requirements Based on Mixed Data Mining

随着人工智能时代的到来，为了满足国家对信息化、专业化人才的培养要求，需要对大学计算机基础课程做出相应的改变。在本文中，我们从学生个人兴趣与社会就业需求两个角度出发，首先采用问卷调查的形式搜集学生对于目前计算机基础课程的态度和看法，通过情感分析技术对学生进行意图挖掘和倾向性分析；再从招聘网站上爬取数十万条与计算机技能相关的文本数据，通过自然语言处理提取有效内容并对计算机技能进行挖掘，得到了不同专业对计算机技能需要掌握的程度。本文以大量数据作为支撑，以数据挖掘与分析的方式为高校计算机基础教学改革提供了参考。
With the advent of the era of artificial intelligence, in order to meet the national requirements for the cultivation of information and professional talents, it is necessary to make corresponding changes to the university computer basic courses. In this paper, we will start from two perspectives: students’ personal interest and social employment needs, first of all, use the form of questionnaire survey to collect students’ attitudes and views on the current computer basic courses, and excavate students’ intention and analyze their tendency through emotion analysis technology; then crawl hundreds of thousands of text data related to computer skills from the recruitment website, through natural language processing to extract effective content and computer skills to get the degree of computer skills need to be mastered by different majors. This paper, supported by a large amount of data, provides reference for the teaching reform of computer foundation in colleges and universities by means of data mining and analysis.