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Hua Gong, Nicholas M. Watanabe, Brian P. Soebbing, Matthew T. Brown, and Mark S. Nagel

lens. One of the approaches emerging in recent years is the use of sentiment analysis on large volumes of social media data as a way to improve the understanding of individuals or specific interest groups ( Fang & Zhan, 2015 ). In sport management research, there has, likewise, been a recent increase

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Nicholas P. Davidson, James Du, and Michael D. Giardina

WWE’s latest video game release (#WWE2k20 and #Gaming). Figure 1 —Text-mining results of Twitter contents. Figure  2 displays the results of a sentiment analysis, measuring the extent to which the eight emotional themes (i.e., anger, anticipation, disgust, fear, joy, sadness, surprise, and trust

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Duarte Tereso, Sérgio Moro, Pedro Ramos, Teresa Calapez, Joana M. Costa, and Tyler Ratts

cultivation of long-term relationships with fans. With the development of tools such as the application programming interface, scholars also have the ability to collect a considerable number of tweets instantaneously, which can be analyzed using sentiment analysis tools. This resource has been beneficial in

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Danielle K. Smith and Jonathan Casper

feel about their league’s respective communication outreach. The data for this commentary were gathered using qualitative interviews with select league CSR leaders, secondary research on league communication programs, and social media sentiment analysis (SA). These data provide an initial glance at the

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Elaine Chiao Ling Yang, Michelle Hayes, Jinyan Chen, Caroline Riot, and Catheryn Khoo-Lattimore

tweets. Figure 1 —Steps of creating female and male data collection. Phase 2: Sentiment Analysis Sentiment analysis was conducted to make an overall comparison between female and male data sets. The sentiment analysis method transfers subjective text to quantitative data and delivers information about

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Orland Hoeber, Ryan Snelgrove, Larena Hoeber, and Laura Wood

Alberto Contador. Figures  1 – 3 show the sentiment analysis of crashes for these three riders, respectively. Of note, there was a strong negative sentiment regarding Cavendish’s crash in 2014. Thus, we decided to explore this incident in more detail. Figure 1 Sentiment analysis from Vista of “crash” and

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Nicholas M. Watanabe, Stephen Shapiro, and Joris Drayer

, and Nagel ( 2021 ) investigated the impact of tanking in the National Basketball Association through sentiment analysis. The authors examined big data through a multidimensional lens by emphasizing the concept of variety within sport analytics research. Not only did this study examine patterns of

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Robert Kennedy

, as well as the nature of responses in terms of whether they support or contradict previous posts. Analysis of the two modes together also enables a sentiment analysis. The results show a larger degree of anger and fear than in other texts; in addition, the posts contain recurrent expressions of

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Akira Asada, Yuhei Inoue, and Yonghwan Chang

. ( 2018 ). Collaborative touchdown with #Kaepernick and #BLM: Sentiment analysis of tweets expressing Colin Kaepernick’s refusal to stand during the national anthem and its association with #BLM . Journal of Sports Media, 13 ( 2 ), 39 – 60 . 10.1353/jsm.2018.0008