Reference Hub4
A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work

A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work

W.M. Wang, Benny C.F. Cheung, Zeno C.S. Leung, K.H. Chan, Eric W.K. See-To
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 16
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781522514121|DOI: 10.4018/IJKSS.2017040101
Cite Article Cite Article

MLA

Wang, W.M., et al. "A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work." IJKSS vol.8, no.2 2017: pp.1-16. http://doi.org/10.4018/IJKSS.2017040101

APA

Wang, W., Cheung, B. C., Leung, Z. C., Chan, K., & See-To, E. W. (2017). A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work. International Journal of Knowledge and Systems Science (IJKSS), 8(2), 1-16. http://doi.org/10.4018/IJKSS.2017040101

Chicago

Wang, W.M., et al. "A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work," International Journal of Knowledge and Systems Science (IJKSS) 8, no.2: 1-16. http://doi.org/10.4018/IJKSS.2017040101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Cyber youth work is a pioneering and proactive approach used by non-government organizations to address the changing needs of the youth groups, particularly those at-risk and “hidden” young people. This paper describes the development process of a social media mining and analysis method, which is built to facilitate services for cyber youth work. The method incorporates an iterative method for collecting, selecting and extracting domain keywords in selected social media. A hybrid approach which combines heuristic rules and n-gram analysis for bilingual word segmentation has been developed. Then, social network analysis is used to analyze the extracted results. A pilot study has been done by using drug abuse as the study topic. It demonstrated high potential of the method to enhance cyber youth work. The weights deduced by the method have found to have a positive correlation with the benchmarked scores. It helps to understand the characteristic of the network, identify target clients, and provide data support for marking decisions.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.