Time series analysis of online public opinions in colleges and universities and its sustainability

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dc.contributor.author He, Wei
dc.contributor.author Fang, Yuan
dc.contributor.author Malekian, Reza
dc.contributor.author Li, Zhixiong
dc.date.accessioned 2019-12-11T05:55:08Z
dc.date.available 2019-12-11T05:55:08Z
dc.date.issued 2019-06-27
dc.description.abstract With the quick penetration of Internet applications, online media have become an important carrier of public opinions. The opinions and comments expressed by young college students—one of the most active netizen groups—on the Internet have turned out to be an essential part of the online public opinions in colleges and universities. However, the existing systems generally employ simple statistical methods to analyze the e ect of online public opinions on the image and reputation development of colleges and universities without taking account of other factors, such as the hotness characteristics of online public opinions and semantic information. Therefore, on the basis of Public Opinion Hotness Index and time series-based trend analysis, as well as the topics extracted using the latent Dirichlet allocation (LDA) topic model, this study aims to improve the analysis performance on the online public opinions in colleges and universities using short-term trend prediction results. The experience and lessons learned from a real case may provide strong data support and feasible suggestions for colleges and universities in analyzing and guiding the online public opinions. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2019 en_ZA
dc.description.sponsorship The Fujian Social Science Planning in 2016 under Grant FJ2016B108 and UOW VC Fellowship. en_ZA
dc.description.uri http://www.mdpi.com/journal/sustainability en_ZA
dc.identifier.citation He, W., Fang, Y., Malekian, R. et al. 2018, 'Time series analysis of online public opinions in colleges and universities and its sustainability', Sustainability, vol. 11, art. 3546, pp. 1-17. en_ZA
dc.identifier.issn 2071-1050 (online)
dc.identifier.other 10.3390/su11133546
dc.identifier.uri http://hdl.handle.net/2263/72597
dc.language.iso en en_ZA
dc.publisher MDPI Publishing en_ZA
dc.rights © 2019 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_ZA
dc.subject Online public opinions en_ZA
dc.subject Public hotness sustainability en_ZA
dc.subject Time series forecasting en_ZA
dc.subject LDA topic model en_ZA
dc.subject Latent Dirichlet allocation (LDA) en_ZA
dc.title Time series analysis of online public opinions in colleges and universities and its sustainability en_ZA
dc.type Article en_ZA


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