Photo by Ryunosuke Kikuno on Unsplash
Photo by Ryunosuke Kikuno on Unsplash
This study examines tweets related to new sports included in the 2020 Tokyo Olympics and aims to provide insight for customized marketing plans, scheduling, and potential sponsorships. The domain these data come from is the sports industry, with a focus on social media. Six debut sports, along with additional new events for existing sports, have been added to the Tokyo Olympics schedule including surfing, skateboarding, climbing, karate, and more (Smith, 2021). Fans on Twitter express their feelings towards these new events, providing important insight for the International Olympic Committee and sports sponsors through sentiment analysis.
To analyze the data, I used Python to filter tweets by a selection of new sports, create exploratory visualizations for understanding patterns, and process subsets of the data to prepare for text analysis. Then, I analyzed the sentiment of the relevant tweets and produced supporting visualizations to illustrate the trends.
Adwan, O., Al-Tawil, M., Huneiti, A., Shahin, R., Zayed, A. & Al-Dibsi, R. (2020). Twitter sentiment analysis approaches: A survey. International Journal of Emerging Technologies in Learning, 15, 79–93. https://doi-org.ezproxy.bellevue.edu/10.3991/ijet.v15i15.14467
Barriere, V. & Balahur, A. (2020). Improving sentiment analysis over non-English tweets using multilingual transformers and automatic translation for data-augmentation. In Proceedings of the 28th International Conference on Computational Linguistics, pages 266–271, Barcelona, Spain (Online). International Committee on Computational Linguistics.
Constantin Răzvan, B., Bogdan, B., Laurenţiu, D., Cătălin, P., Daniel, P. & Paula, A. (2021). The role of social media on sponsorship activation. Studia Universitatis Babes-Bolyai, Educatio Artis Gymnasticae, 66(1), 111–126. Day, M. (2021, July 23). The New Olympic Events Debuting in Tokyo for 2021. NBC Chicago. Retrieved from https://www.nbcchicago.com/news/sports/tokyo-summer-olympics/tokyo-olympics-new-sports-and-events-debuting-in-2021/2563173/
Kennedy, M., Fadel, L. & Goldman, T. (2021). Olympic opening ceremony is a delicate mix of celebration and solemnity. NPR. Retrieved from https://www.npr.org/sections/tokyo-olympics-live-updates/2021/07/23/1019622003/tokyo-olympics-opening-ceremony
Kuzminykh, N. (2020, October 23). Sentiment analysis in Python with TextBlob. Stack Abuse. Retrieved from https://stackabuse.com/sentiment-analysis-in-python-with-textblob/
Morrissey, M., Wasser, L., Diaz, J. & Palomino, J. (2020, September 11). Analyze word frequency counts using Twitter data and Tweepy in Python. Earth Lab. Retrieved from https://www.earthdatascience.org/courses/use-data-open-source-python/intro-to-apis/calculate-tweet-word-frequencies-in-python/
Preda, G. (2021). Tokyo Olympics 2020 Tweets. Kaggle. Retrieved from https://www.kaggle.com/gpreda/tokyo-olympics-2020-tweets
Rivenburgh, N. K. (2002). The Olympic games: Twenty-first century challenges as a global media event. Culture, Sport, Society, 5(3), 31. https://doi-org.ezproxy.bellevue.edu/10.1080/911094208
Seilsepour, A., Ravanmehr, R. & Sima, H. (2019). 2016 Olympic games on Twitter: Sentiment analysis of sports fans tweets using big data framework. Journal of Advances in Computer Engineering and Technology, 5(3), 143–160.
Smith, S. (2021, April 6). Tokyo Olympics 101: What are the new sports? NBC. Retrieved from https://www.nbcolympics.com/news/tokyo-olympics-101-new-sports
Zimmerman, M. & Huang, G. (2021, August 1). Tokyo Olympics: Tone shifts in Japan as medals outshine Covid-19 concerns. Stuff Limited. Retrieved from https://www.stuff.co.nz/sport/olympics/300371436/tokyo-olympics-tone-shifts-in-japan-as-medals-outshine-covid19-concerns
Zuccarini, D. (2020, July 21). Now, more than ever, the sponsorship industry must demand data. SportsPro. Retrieved from https://www.sportspromedia.com/opinion/sports-sponsorship-analytics-strategy-liverpool-manchester-city
Photographs by Unsplash
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