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