大数据与创新研究方法

IF 2 Q2 COMMUNICATION International Journal of Sport Communication Pub Date : 2023-01-01 DOI:10.1123/ijsc.2023-0109
Yoseph Z. Mamo
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引用次数: 1

摘要

大数据和创新研究方法是两个快速发展的趋势,正在改变我们开展体育管理研究的方式。考虑到社交媒体与体育之间的自然关系,社交媒体被广泛认为是主要的大数据来源,本文的评论集中在应用于社交媒体数据的当代研究方法上。在此过程中,它讨论了社交媒体数据的当代创新技术,重点探索访问社交媒体数据的方法,使用的自然语言处理技术,它们解决的挑战,不同技术的优势和局限性,以及与使用相关的道德和隐私考虑。此外,评论表明,使用情绪分析工具(例如,Syuzhet, Bing和AFFIN)在分析体育社交媒体数据时是适当和有效的。因此,当代创新技术的严格应用可以显著塑造体育管理研究的未来。然而,在应用先进的分析技术之前,研究人员在考虑数据的来源和预处理时必须谨慎。
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Big Data and Innovative Research Methods
Big data and innovative research methods are two rapidly evolving trends that are transforming how we conduct research in sport management. Considering the natural relationship between social media, which is widely recognized as a major big-data source, and sport, this commentary centers on contemporary research method applied to social media data. In doing so, it discusses contemporary innovative techniques for social media data, focusing on exploring ways to access social media data, the natural language-processing techniques used, the challenges they address, the strengths and limitations of different techniques, and the ethical and privacy considerations associated with their use. Furthermore, the commentary demonstrates that using sentiment-analysis tools (e.g., Syuzhet, Bing, and AFFIN) is appropriate and efficient in analyzing sport’s social media data. Thus, a rigorous application of contemporary innovative techniques can significantly shape the future of sport management research. However, researchers must exercise caution when considering the source and preprocessing of the data prior to applying advanced analytical techniques.
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来源期刊
CiteScore
3.70
自引率
5.60%
发文量
36
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