Evaluation and Research on Students' Comprehensive Quality Based on Text Mining
Download as PDF
DOI: 10.23977/iemss.2018.91444
Author(s)
Xue Yanru, Huang Lei
Corresponding Author
Xue Yanru
ABSTRACT
This paper analyzes the construction principles of the comprehensive quality evaluation index system and constructs a comprehensive quality evaluation index system for college students. It uses text mining technology to analyze the actual interview records, such as text segmentation, clustering and data mining, finally describes the main factors affecting the overall quality of college students.
KEYWORDS
Comprehensive Quality, Text Mining, Support Vector Machine, Word Cloud