Identifying Sports Talents by Social Media Mining as a Marketing Instrument
Davcheva P (2014)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2014
Publisher: IEEE
Edited Volumes: Annual SRII Global Conference, SRII
Book Volume: 0
Pages Range: 223 - 227
Conference Proceedings Title: Global Conference (SRII), 2014 Annual SRII
Event location: San Jose, CA
DOI: 10.1109/SRII.2014.38
Abstract
Web 2.0 and social media channels have been analyzed for a variety of business purposes, especially in marketing. However, they have not been applied for talent identification in sports, yet. In this paper, the potential of social media mining and analytics tool for identifying potentially talented children in sports is explored. In a first step, social media data are retrieved based on a query, which is then processed in a second step with a natural language processing (NLP) tool, the Apache OpenNLP. The mining process results in a list of players' names deemed as talented in the Web 2.0 space. © 2014 IEEE.
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How to cite
APA:
Davcheva, P. (2014). Identifying Sports Talents by Social Media Mining as a Marketing Instrument. In Global Conference (SRII), 2014 Annual SRII (pp. 223 - 227). San Jose, CA, US: IEEE.
MLA:
Davcheva, Pavlina. "Identifying Sports Talents by Social Media Mining as a Marketing Instrument." Proceedings of the 2014 Annual SRII Global Conference, SRII 2014, San Jose, CA IEEE, 2014. 223 - 227.
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