Research on the Monitoring of Internet with Public Opinions Based on Micro-Blog in Universities

Article Preview

Abstract:

It is so important to monitor Internet public opinions based on micro-blog in universities that universities are able to grasp public opinion trends comprehensively and to make correct guidance of public opinion timely. In this paper, we propose a monitoring platform of micro-blog public opinions via combining artificial participation with computer technologies. The technologies of search engine and date mining are applied to this platform including topic detection and tracking, hotspot detection and emotional tendency analysis to mine and monitor micro-blog public opinion automatically. This platform is able to make full use of the advantages of the professional group of micro-blog public opinion monitoring to increase the effectiveness and efficiency of monitoring and guidance work of micro-blog Internet public opinions in universities.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

345-348

Citation:

Online since:

August 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Stay informed today and every day. Comments by Cedric Sam,. The Economist. 2011-09-30.

Google Scholar

[2] China Internet Network Information Center. 2011-7.

Google Scholar

[3] China's Internet users reach 564 mln,. News. xinhuanet. com. 2013-01-15.

Google Scholar

[4] Wines, Michael, Lafraniere, Sharon. In Baring Train Crash Facts, Blogs Erode China Censorship,. The New York Times. 2011-7-28.

Google Scholar

[5] Haiying Zou. Micro-blog on Ideological and Political Education. Proceedings of Conference on Creative Education(CCE2012).

Google Scholar

[6] Dongxia Zhang . Study of Network public opinion management based on Social Network Analysis [D]. South China University of Technology, Guang Zhou, China. (2013).

Google Scholar

[7] KIM S M, HOVY E. Automatic detection of opinion bearing words and sentences [C]. Proceedings of the Second International Joint Conference on Natural Language Processing. Jeju Island,2005: 61-66.

Google Scholar

[8] VELIKOVICH L, BLAIR-GOLDENSOHN S, HANNAN .The viability of Web-derived polarity lexicons [C]. Proceedings of the North American Chapter of the Association for Computational Linguistics. Stroudsburg, PA: Association for Computational Linguistics,2010: 777-785.

Google Scholar

[9] KU L W, LO Y S, CHEN H H. Using polarity scores of words for sentence-level opinion extraction [C]. Proceedings of NTCIR-6Workshop Meeting. Tokyo, Japan, 2007: 316-322.

Google Scholar

[10] Chenyi Zhang, Jianling Sun, Yiqun Ding. Topic Ming for Microblog Based on MB_LDA Model [J]. Journal of Computer Research and Development, 48(10), 2011: 1795-1802.

Google Scholar

[11] Liang Yang, Yuan Lin, Hongfei Lin. Micro-Blog Hot Events Detection Based on Emotion Distribution. Journal of Chinese Information Pricessing. 1(26), 2012, 84-90.

Google Scholar

[12] Xiaodong Chen. Research on Sentiment Dictionary based Emotional Tendency Analysis of Chinese MicroBlog[D]. Huazhong University of Science & Technology, Wuhan, (2012).

Google Scholar