聚类算法在高校学生微博的应用研究
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摘要
为研究聚类算法在高校学生微博的应用情况,针对K-means算法和分层聚类算法在聚类中心选择不精确的问题,基于高校学生使用微博的背景,对微博文本挖掘应用中聚类算法的应用进行改进。通过文本的矢量表示、文本相似度计算和聚类算法的实现,验证了聚类算法在微博热门话题检测的准确性和效率,并针对实验数据提出几点针对性的措施。
On the basis of the research applications on clustering algorithm in college students′ McroBlog,and MicroBlog use background,the application of clustering algorithm in MicroBlog test mining is improved to solve the inaccurate selection problem of clustering center by using K-means algorithm and hierarchical clustering algorithm. The accuracy and efficiency of MicroBlog hot topic detection are verified via text vector representation,text similarity calculation,and implementation of clustering algorithm,and some specific measures for the experimental data are pointed out.
On the basis of the research applications on clustering algorithm in college students′ McroBlog,and MicroBlog use background,the application of clustering algorithm in MicroBlog test mining is improved to solve the inaccurate selection problem of clustering center by using K-means algorithm and hierarchical clustering algorithm. The accuracy and efficiency of MicroBlog hot topic detection are verified via text vector representation,text similarity calculation,and implementation of clustering algorithm,and some specific measures for the experimental data are pointed out.
引文
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[12] WILLIAMS C K I. A MCMC approach to hierarchical mixture modeling[C]//1999 International Conference on Neural Infor-mation Processing Systems. Boston:MIT Press,1999:680-686.
[13]金微,陈慧萍.基于分层聚类的K-means算法[J].河海大学常州分校学报,2007,21(1):7-10.JIN Wei,CHEN Huiping. A hybrid hierarchical K-means clustering algorithm[J]. Journal of Hohai:University Chang-zhou,2007,21(1):7-10.
[14]孟晨晨,肖建于,罗兰.基于相似系数和Jaccard系数矩阵的证据冲突度量方法[J].重庆邮电大学学报(自然科学版),2017,29(3):421-426.MENG Chenchen,XIAO Jianyu,LUO Lan. Evidence conflict measurement method based on similarity coefficient and Jacca-rd matrix[J]. Journal of Chongqing University of Posts and Telecommunications(natural science edition),2017,29(3):421-426.
[15]文丰安.提升高校微博思想政治教育实效性的若干思考[J].思想理论教育导刊,2013(4):123-125.WEN Feng’an. The thoughts on improving the effectiveness of the ideological and political education of Micro-Blog in colle-ges and universities[J]. Leading journal of ideological & theo-retical education,2013(4):123-125.
[16]刘琳,李英.高校学生使用微博和社交网站的现状及其对策研究:基于南京理工大学的调查[J].南京理工大学学报(社会科学版),2012,25(6):73-77.LIU Lin,LI Ying. A research of present situation and counter-measures of college students′using Micro-Blogs and social networking services:Nanjing University of Science and Tech-nology as a case in point[J]. Journal of Nanjing University of Science and Technology(social sciences edition),2012,25(6):73-77.
[2]张建军.传统媒体如何开微博:媒体微博应用的战略和战术[J].新闻实践,2011(3):16-19.ZHANG Jianjun. How do traditional media open micro-blog:strategies and tactics of media micro-blog applications[J]. Prac-tical journalism,2011(3):16-19.
[3]石洋.以微博为例谈新媒体在高校学生管理中的应用[J].陕西教育(高教版),2017(2):53-54.SHI Yang. Taking Micro-Blog as an example to discuss the ap-plication of new media in the management of college students[J]. Shaanxi education(high education edition),2017(2):53-54.
[4]高恒.微博在高校思想政治教育中的应用[J].安庆师范学院学报(社会科学版),2017,36(2):121-123.GAO Heng. The application of micro-blog in ideological and po-litical education in colleges and universities[J]. Journal of An-qing Normal University(social science edition),2017,36(2):121-123.
[5]张东霞.基于高校学生微博的舆情热点分析与发现[J].东南传播,2013(6):87-89.ZHANG Dongxia. Analysis and discovery of public opinion hot spots based on college students′Micro-Blog[J]. Southeast com-munication,2013(6):87-89.
[6] HU J,YANG B,SONG Z,et al. Web text clustering algo-rithm based on the nonstructural data mining model[J]. Journal of University of Science & Technology Beijing,2008,30(2):217-220.
[7] SOUSA L,GAMA J. The application of hierarchical clustering algorithms for recognition using biometrics of the hand[J].Health & social care in the community,2014,8(1):70-74.
[8] KHANMOHAMMADI S, ADIBEIG N, SHANEHBANDY S.An improved overlapping K-means clustering method for medi-cal applications[J]. Expert systems with applications,2017,67(1):12-18.
[9] XU R,II D C W. Survey of clustering algorithms[J]. IEEE transactions on neural networks,2005,16(3):645-678.
[10] WANG K. An improved genetic K-means clustering algorithm[J]. Computer & digital engineering,2010,38(1):18-20.
[11] MUKHOPADHYAY A,MAULIK U,BANDYOPADHYAY S.A survey of multiobjective evolutionary clustering[J]. ACM computing surveys,2015,47(4):1-46.
[12] WILLIAMS C K I. A MCMC approach to hierarchical mixture modeling[C]//1999 International Conference on Neural Infor-mation Processing Systems. Boston:MIT Press,1999:680-686.
[13]金微,陈慧萍.基于分层聚类的K-means算法[J].河海大学常州分校学报,2007,21(1):7-10.JIN Wei,CHEN Huiping. A hybrid hierarchical K-means clustering algorithm[J]. Journal of Hohai:University Chang-zhou,2007,21(1):7-10.
[14]孟晨晨,肖建于,罗兰.基于相似系数和Jaccard系数矩阵的证据冲突度量方法[J].重庆邮电大学学报(自然科学版),2017,29(3):421-426.MENG Chenchen,XIAO Jianyu,LUO Lan. Evidence conflict measurement method based on similarity coefficient and Jacca-rd matrix[J]. Journal of Chongqing University of Posts and Telecommunications(natural science edition),2017,29(3):421-426.
[15]文丰安.提升高校微博思想政治教育实效性的若干思考[J].思想理论教育导刊,2013(4):123-125.WEN Feng’an. The thoughts on improving the effectiveness of the ideological and political education of Micro-Blog in colle-ges and universities[J]. Leading journal of ideological & theo-retical education,2013(4):123-125.
[16]刘琳,李英.高校学生使用微博和社交网站的现状及其对策研究:基于南京理工大学的调查[J].南京理工大学学报(社会科学版),2012,25(6):73-77.LIU Lin,LI Ying. A research of present situation and counter-measures of college students′using Micro-Blogs and social networking services:Nanjing University of Science and Tech-nology as a case in point[J]. Journal of Nanjing University of Science and Technology(social sciences edition),2012,25(6):73-77.