... social media research. Gyujik Han can be contacted at: gyujik.han@ufl.edu 14 04 2025 30 08 2025 11 02 2026 02 03 2026 02 03 2026 © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Sentiment analysis Machine learning...

... these platforms provide a rich data source for exploring fan engagement. © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Natural language processing User-generated content Blockchain Machine learning Self-determination theory...

... of 397 inside sales calls for a National Basketball Association (NBA) team were transcribed and analyzed. Unsupervised topic modeling was conducted using Latent Dirichlet Allocation (LDA), a machine learning technique for identifying latent themes or topics within a textual corpus. Additionally...

...Junyi Bian; Benjamin Colin Cork Purpose This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors...

...Juho Park; Junghwan Cho; Alex C. Gang; Hyun-Woo Lee; Paul M. Pedersen Purpose This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore...

... Football League (NFL) teams’ Instagram posts to understand how sport teams can utilize social media to drive customer engagement. Design/methodology/approach Guided by uses and gratification theory, the author employs a machine learning algorithm to assess the content of NFL teams’ posts from the 2013...

... Esports Machine learning Predictive analysis Reddit Sentiment analysis Jitendra Yadav is the corresponding author and can be contacted at: yadavjitendra.phd@gmail.com 21 06 2021 02 09 2021 25 09 2021 21 10 2021 10 11 2021 12 11 2021 12 11 2021 12 11...

... data analytics Machine learning Data-rich environments Analytics Social media The term “big data (BD)” is used to describe datasets and analytical techniques in applications ranging from social media to the Internet of Things (IoT) that require advanced and unique storage, management...