Open AccessResearch on Entrepreneurship Policy of College Students Based on Quantitative Analysis of Text Data Mining
Author(s) -
Xu Jie,
Fei Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1570/1/012071
Subject(s) - entrepreneurship , theme (computing) , china , big data , subject (documents) , macro , political science , policy analysis , data science , macro level , mathematics education , public relations , sociology , business , knowledge management , computer science , psychology , economics , data mining , library science , public administration , economic system , world wide web , law , programming language
Encouraging college students to become entrepreneurs has become the policy orientation of many countries including China and entrepreneurship policy is an important macro environment for college students to innovate and engage in entrepreneurial activities.This paper focuses on the entrepreneurial policy of college students in Changzhou. Based on text data mining and big data, it analyzes the quantity, form, subject, theme and use of policy tools in Changzhou and discusses the macroscopic development trend and logical path of Changzhou college students’ entrepreneurial policies. Provide theoretical guidance for the analysis of policies in the future through the construction of, the check of, and the classification of text big database.