基于文本挖掘技术校园学生投诉问题分析

Analysis of Student Complaints Based on Text Mining Technology

本研究主要探索从文本中获得有效信息的问题。本文以投诉学校的文本为处理对象,调用Python对投诉文本分析、词频统计以及主题分析,从而了解投诉文本的集中问题点,为快速有效解决学生投诉问题、合理处理学校与学生的关系提供参考,同时指出对投诉问题分类是值得深入探讨的问题。

This study focuses on exploring the problem of obtaining effective information from texts. In this paper, we take the text of complaints against schools as the processing object, and use Python to analyze the complaint text, word frequency statistics and topic analysis, so as to understand the concentrated problem points of the complaint text, and provide reference for quickly and effectively solving student complaints and reasonably handling the relationship between schools and students, and also point out that classifying the complaint problems is a problem worthy of in-depth exploration.