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Evaluation and Research on Students' Comprehensive Quality Based on Text Mining

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DOI: 10.23977/iemss.2018.91444


Xue Yanru, Huang Lei

Corresponding Author

Xue Yanru


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.


Comprehensive Quality, Text Mining, Support Vector Machine, Word Cloud

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