基于网络评论的高校综合评价体系构建框架

Xue Li, Qian Wang, Qian Jia, Juan Shi
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引用次数: 0

摘要

教育评价在教育改革和发展中具有重要的指导作用。建立科学、完整的高校综合评价体系,是现阶段解决中国教育评价“接力棒”问题的重要手段。网络上发布了大量关于大学服务的评论,这些评论暗示了人们的潜在需求和对大学的评价。利用大数据挖掘和分析用户的意见和深层次需求,对于高校提高服务质量、提高人们对教育的满意度具有重要意义。本文提出了基于知识图谱和网络评论大数据构建高校综合评价体系的思路。首先,通过网络爬虫技术,从网络社区、论坛和社会化问答网站获取在线评论数据,并对数据进行清洗。然后,对文本数据进行实体抽取、关系抽取和知识融合,构建高校领域知识图谱。最后,运用复杂网络分析法确定高校综合评价体系。该评价方法不仅是对现有高校评价体系的重要补充,而且可以为运用新技术构建科学、客观的教育评价提供新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Framework of Constructing University Comprehensive Evaluation System Based on Online Comments
Educational evaluation plays an important guiding role in education reform and development. Establishing a scientific and complete comprehensive evaluation system for colleges and universities is an important means to solve the “baton” problem of education evaluation in China at this stage. A large number of comments on university services published on the Internet, which implicated the potential demand of people and the evaluation of universities. Using big data to mine and analyze users’ opinions and deep-seated needs is of great significance for universities to improve service quality and improve people’s satisfaction with education. This paper proposes the idea of constructing a comprehensive evaluation system for universities based on knowledge graph and big data of online comments. First, through the web crawler technology to obtain online comments data from the online communities, forums and socialized Q&A websites and clean the data. Then, the text data is subjected to entity extraction, relationship extraction, and knowledge fusion to construct a domain knowledge graph of the universities. Finally, use the complex network analysis method to determine the comprehensive evaluation system of universities. This evaluation method is not only an important supplement to the existing university evaluation system, but also can provide new ideas for constructing scientific and objective educational evaluation by using new technology.
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