基于高校官网的校情简介数据分析方法

doi:10.3969/j.issn.1006-2475.2018.08.013

计算机与现代化

基于高校官网的校情简介数据分析方法

(上海师范大学信息与机电工程学院,上海200234)

收稿日期:2018-01-16 出版日期:2018-09-11 发布日期:2018-09-11
作者简介:王松松(1991-),男,安徽阜阳人,上海师范大学信息与机电工程学院硕士研究生,研究方向:自然语言处理,数据挖掘；通信作者:高伟勋(1973-),男,高级工程师,IEICE会员,博士,研究方向:计算机网络,智能信息处理。

Data Analysis Method of Campus Profile Based on University Website

(College of Information, Mechanical and Electronic Engineering, Shanghai Normal University, Shanghai 200234, China)

Received:2018-01-16 Online:2018-09-11 Published:2018-09-11

摘要/Abstract

摘要： 对高校官网校情简介数据进行挖掘分析，提出基于短语树形结构与CilinSimHash算法相结合的短语相似度计算方法。首先将短语转换成以数字为根节点的树形结构来计算相似度，接着将同义词词林与SimHash算法相结合实现基于CilinSimHash算法的相似度计算，最后将基于短语结构的相似度方法与基于CilinSimHash算法的相似度方法加权，来实现短语相似度的计算。将该算法应用到高校官网数据分析过程中，进而对高校官网数据进行聚类分析，得出高校官网数据与高校评价指标之间的关系；获取高校官网数据中的结构化数据，通过聚类算法来对相关指标数据进行分析，表明高校的发展在不同办学层次下仍然是不平衡的。

关键词: 高校官网, 短语相似度, SimHash, 高校评价指标

Abstract: This paper mines and analyzes university official website data, and proposes a phrase similarity calculation method based on the combination of phrase tree structure and CilinSimHash algorithm. The algorithm first converts the phrase into a tree with numbers as the root node to calculate the similarity, and then the Tongyici Cilin and SimHash algorithms are combined to calculate the similarity based on CilinSimHash algorithm, finally the similarity method based on phrase structure is weighted with the similarity method based on CilinSimHash algorithm to achieve the phrase similarity calculation. The algorithm is applied to the process of data analysis of university official website, and then the cluster analysis of university official website data is studied, the relationship between university official website data and college evaluation index is achieved. According to the structured data obtained from the official website data of colleges and universities, the clustering algorithm is used to analyze the related index data, which shows the unbalanced development of higher educations at different educational levels.
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Key words: university official website, phrase similarity, SimHash, college evaluation index

中图分类号:

TP301

王松松,高伟勋. 基于高校官网的校情简介数据分析方法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2018.08.013.

WANG Song-song, GAO Wei-xun. Data Analysis Method of Campus Profile Based on University Website[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2018.08.013.

参考文献

［1］唐祎迪,於海燕. 对大学评价指标体系的差异化修正与重构［J］. 亚太教育, 2015(31):294.
［2］任高举,王宏伟. 基于数据挖掘的高校管理信息系统设计与实现［J］. 计算机测量与控制, 2016,24(10):255-258.
［3］许丽卿. 基于数据挖掘的高校教学质量评估系统研究［J］. 信息技术与信息化, 2016(8):79-82.
［4］李景奇,卞艺杰. 基于大数据挖掘的高校知识管理系统［J］. 计算机系统应用, 2017,26(9):54-61.
［5］叶莉,凌征强. 基于数据挖掘的高校图书馆信息服务［J］. 图书馆工作与研究, 2017(5):70-74.
［6］闫红,李付学,周云. 基于HowNet句子短语相似度的计算［J］. 计算机技术与发展, 2015,25(11):53-57.
［7］田堃,柯永红,穗志方. 基于语义角色标注的汉语句子相似度算法［J］. 中文信息学报, 2016,30(6):126-132.
［8］李峰,侯加英,曾荣仁,等. 融合词向量的多特征句子相似度计算方法研究［J］. 计算机科学与探索， 2016（4）:608-618.
［9］李晓,解辉,李立杰. 基于Word2vec的句子语义相似度计算研究［J］. 计算机科学, 2017,44(9):256-260
［10］Indyk P, Motwani R. Approximate nearest neighbor: Towards removing the curse of dimensionality［C］// Proceedings of the 30th Annual ACM Symposium on Theory of Computing. 1998:604-613.
［11］梅家驹. 同义词词林［M］. 上海:上海辞书出版社， 1983.
［12］陈宏朝,李飞,朱新华,等. 基于路径与深度的同义词词林词语相似度计算［J］. 中文信息学报, 2016,30(5):80-88.
［13］王松松,高伟勋,徐逸凡. 结合路径和词林编码的词语相似度计算方法［J］. 计算机工程, 2017,43(10):24-30.
［14］Ru Chengsen, Li Shasha, Tang Jintao. Open relation extraction based on core dependency phrase clustering［C］// Proceedings of IEEE 2nd International Conference on Data Science in Cyberspace. 2017:398-404
［15］Liu Xiaomeng, Xiong Haitao, Nan Shen. A hybrid model of VSM and LDA for text clusteing［C］// IEEE International Conference on Computational Intelligence and Applications (ICCIA). 2017:230-233.
［16］Guo Aizhang, Yang Tao. Research and improvement of feature words weight based on TFIDF algorithm［C］// IEEE Information Technology, Networking, Electronic and Automation Control Conference. 2016:415-419
［17］周蕙巍,黄德根,钱志强,等. 短语结构到依存结构树库转换研究［J］. 大连理工大学学报, 2010,50(4):609-613.
［18］Liu Jie, Jin Ting, Pan Kejia. An improved KNN text classification algorithm based on Simhash［C］// IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing. 2017:92-95.
［19］林岚涛. 中国大学“双一流”建设与世界一流大学评价指标研究［J］. 教育文化论坛, 2017,9(2):1-15.
［20］Nowak-Brzezinska A, Rybotycki T. Comparison of similarity measures in context of rules clustering［C］// IEEE International Conference on Innovations in Intelligent Systems and Applications. 2017:235-240.

基于高校官网的校情简介数据分析方法

Data Analysis Method of Campus Profile Based on University Website

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