Abstract
Nowadays, a growing number of people publicly share information about their fitness activities on social media platforms like Twitter or Facebook. These social networks can furnish people with useful information to get an overview of different geographic areas where people can practice different sport-related activities. In this study, we analyze 14 million tweets to identify places to perform fitness activities and uncovering their aspects from twitterers’ opinions. To this end, we apply clustering analysis to uncover places where twitterers perform fitness activities, and then train a text classifier that achieves a score F1 of \(76\%\) to discriminate the aspects of fitness places. Using this information, recommender systems can provide useful information to local people or tourists that look for places to do exercise.
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References
Althoff, T., White, R.W., Horvitz, E.: Influence of pokemon go on physical activity: study and implicationsemon go on physical activity: study and implications. arXiv preprint arXiv:1610.02085 (2016)
Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pp. 1027–1035. Society for Industrial and Applied Mathematics (2007)
Ester, M., Kriegel, H.-P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, vol. 96, pp. 226–231 (1996)
Foster, D., Linehan, C., Kirman, B., Lawson, S., James, G.: Motivating physical activity at work: using persuasive social media for competitive step counting. In: Proceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments, pp. 111–116. ACM (2010)
Jurgens, D., McCorriston, J., Ruths, D.: An analysis of exercising behavior in online populations. In: Ninth International AAAI Conference on Web and Social Media (2015)
Naaman, M., Boase, J., Lai, C.-H.: Is it really about me?: message content in social awareness streams. In: Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, pp. 189–192. ACM (2010)
Nigg, C.R.: Technology’s influence on physical activity and exercise science: the present and the future. Psychol. Sport Exerc. 4(1), 57–65 (2003)
O’Callaghan, D., Greene, D., Carthy, J., Cunningham, P.: An analysis of the coherence of descriptors in topic modeling. Expert Syst. Appl. 42(13), 5645–5657 (2015). https://doi.org/10.1016/j.eswa.2015.02.055. ISSN 09574174
Paul, M.J., Dredze, M.: You are what you tweet. ICWSM 20, 265–272 (2011)
Ranck, J., Moss, F.: Connected health: how mobile phones, cloud and big data will reinvent healthcare (2012). https://books.google.com.ec/books?id=yz2loAEACAAJ. ISBN 9781938607004
Teodoro, R., Naaman, M.: Fitter with Twitter: understanding personal health and fitness activity in social media. ICWSM (2013)
Torres, J., Vaca. C.: e-health and fitness in Ecuador: a social media based analysis. In: 2017 Fourth International Conference on eDemocracy & eGovernment (ICEDEG), pp. 132–139. IEEE (2017)
West, J.H., Hall, P.C., Hanson, C.L., Barnes, M.D., Giraud-Carrier, C., Barrett, J.: There’s an app for that: content analysis of paid health and fitness apps. J. Med. Internet Res. 14(3), e72 (2012)
Zhang, X., LeCun, Y.: Text understanding from scratch. arXiv preprint arXiv:1502.01710 (2015)
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Torres, J., Ortiz, K., García, J., Vaca, C. (2018). Uncovering Aspects of Places for Fitness Activities Through Social Media. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_91
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