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Machine Learning in Sport Social Media Research: Practical Uses and Opportunities
8 references·1 citing·45 second hop
Machine Learning in Sport Social Media Research: Practical Uses and Opportunities (2023)Machine Learning in Sport Social Media Re…ChatGPT is fun, but not an author (2023)ChatGPT is fun, but not an au…A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)A Topic Modeling Comparison B…Uniting the Tribes: Using Text for Marketing Insight (2019)Uniting the Tribes: Using Tex…Introducing a Sport Experience Design (SX) framework for sport consumer behaviour research (2017)Introducing a Sport Experienc…Big Data and Data Science Methods for Management Research (2016)Big Data and Data Science Met…World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets (2015)World Cup 2014 in the Twitter…Big Data and Management (2014)Big Data and ManagementThe Psychological Continuum Model: A Conceptual Framework for Understanding an Individual's Psychological Connection to Sport (2001)The Psychological Continuum M…Artificial intelligence development and dissemination impact on the sports industry labor market (2024)Artificial intelligence devel…The Psychology of Interpersonal Relations. (1958)The psychology of interpersonal relations. (1958)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)Consumer Loyalty: The Meaning of Attachment in the Development of Sport Team Allegiance (2006)Customer Engagement With Tourism Brands (2012)Progress and prospects for event tourism research (2015)Emotion: A Psychoevolutionary Synthesis (1980)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France (2013)Inductive reasoning: The promise of big data (2016)Using Big Data to study subjective well-being (2017)From Text to Thought: How Analyzing Language Can Advance Psychological Science (2021)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Big Data : The Management Revolution (2013)Big Data: New Tricks for Econometrics (2014)Deep learning in business analytics and operations research: Models, applications and managerial implications (2019)Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020)Theory building with big data-driven research – Moving away from the “What” towards the “Why” (2020)Mental Accounting and Consumer Choice (1985)Servicescapes: The Impact of Physical Surroundings on Customers and Employees (1992)Evolving to a New Dominant Logic for Marketing (2003)eSport management: Embracing eSport education and research opportunities (2017)eSport vs sport: A comparison of spectator motives (2018)eSport vs. Sport: A Comparison of Spectator Motives (2018)A New Product Growth for Model Consumer Durables (1969)Telling more than we can know: Verbal reports on mental processes. (1977)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Natural language processing (NLP) in management research: A literature review (2020)Better Marketing for a Better World (2021)Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis (2021)Empirical study of topic modeling in Twitter (2010)Big Data, new epistemologies and paradigm shifts (2014)Machine learning on big data: Opportunities and challenges (2017)Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots (2024)Green and sustainable AI research: an integrated thematic and topic modeling analysis (2024)Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling (2024)Does Technology Drive History? The Dilemma of Technological Determinism. (1995)The effect of artificial intelligence on China’s labor market (2019)Enchanted Determinism: Power without Responsibility in Artificial Intelligence (2020)Critical analysis of Big Data challenges and analytical methods (2016)Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal (2018)Algorithms at Work: The New Contested Terrain of Control (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)
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References

  • 2023ChatGPT is fun, but not an author1,433 cited
  • 2014Big Data and Management1,198 cited
  • 2001The Psychological Continuum Model: A Conceptual Framework for Understanding an Individual's Psychological Connection to Sport1,079 cited
  • 2022A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts983 cited
  • 2019Uniting the Tribes: Using Text for Marketing Insight741 cited
  • 2016Big Data and Data Science Methods for Management Research396 cited
  • 2015World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets220 cited
  • 2017Introducing a Sport Experience Design (SX) framework for sport consumer behaviour research170 cited

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  • 2024Artificial intelligence development and dissemination impact on the sports industry labor market46 cited

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