Identifying Sports Talents by Social Media Mining as a Marketing Instrument

Author

Davcheva, Pavlina

Author_Institution

Inst. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany

fYear

2014

fDate

23-25 April 2014

Firstpage

223

Lastpage

227

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.

Keywords

Internet; data mining; natural language processing; query processing; social networking (online); sport; Apache OpenNLP tool; Web 2.0; analytics tool; marketing instrument; natural language processing tool; potentially talented children identification; query processing; social media channels; social media data retrieval; social media mining; sport talent identification; Blogs; Companies; Data mining; Manuals; Media; Natural language processing; Twitter; natural language processing; social media analytics; talent identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Conference (SRII), 2014 Annual SRII

Conference_Location

San Jose, CA

Type

conf

DOI

10.1109/SRII.2014.38

Filename

6879685