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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Hua Gong, Nicholas M. Watanabe, Brian P. Soebbing, Matthew T. Brown, and Mark S. Nagel
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
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
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
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
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
Brian A. Eiler, Rosemary Al-Kire, Patrick C. Doyle, and Heidi A. Wayment
not to use it here as one of our primary goals was to ensure that negation was accounted for and that our language processing utilized a domain-independent machine learning algorithm rather than a frequency-based approach. 1 The recently developed SEntiment ANalysis and Cognition engine by Crossley
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
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
Christopher Johansen, Kim D. Reynolds, Jennifer Wolch, Jason Byrne, Chih-Ping Chou, Sarah Boyle, Donna Spruijt-Metz, Brianna A. Lienemann, Susan Weaver, and Michael Jerrett
, in some situations, trail crowding may be viewed as enhancing perceived safety and facilitating the formation or activation of social connections, particularly when shared on social media sites. Future studies could use sentiment analysis of social media to verify associations between trail crowding
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