Abstract
This paper presents a methodology to measure and analyze mass opinion towards underdeveloped forms of art such as independent films using data mining and topic modelling approach, rather than limited sampling through traditional movie revenue and surveys. Independent films are cultural mediums that foster awareness and social transformation through the advocacies and social realities they present. This methodology helps in addressing challenges of film stakeholders and cultural policy-making bodies in assessing cultural significance of independent films. Twitter has allowed innovative methods in data mining to understand trends and patterns that provide valuable support in decision making to domain experts. By determining the status of Philippine Cinema using social media data analytics as the primary source of the collective response, film stakeholders will be provided with a better understanding how the audience currently interprets their films with results as quantitative evidence. We use the tweets from the Pista ng Pelikulang Pilipino given the festival objective of showcasing films that enhances “quality of life, examine the human and social condition, and contribute to the nobility and dignity of the human spirit”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
United Nations Development Programme, “About Human Development,” 2015. .
S. Bernard, Documentary Story Telling. Elsevier Inc., 2011.
B. Mendoza, “Philippine Indie Films Make Headway,” The Philippine Star, Mar-2009.
C. Lipizzi, L. Iandoli, and J. E. R. Marquez, “Combining structure, content and meaning in online social networks: The analysis of public’s early reaction in social media to newly launched movies,” Technol. Forecast. Soc. Change, vol. 109, pp. 35–49, 2016
F. Xiong and Y. Liu, “Opinion Formation on Social Media: An Empirical Approach,” An Interdiscip. J. Non-Linear Sci., 2014.
M. Kaschesky, P. Sobkowicz, and G. Bouchard, “Opinion Mining in Social Media: Modeling, Simulating and Visualizing Political Opinion Formation in the Web,” in The Proceedings of the 12th Annual International Conference on Digital Government Research, 2011, pp. 317–326.
J. Lule, Understanding Media and Culture: An Introduction to Mass Communication. 2017.
R. Pertierra, “Culture, Social Science, and the Conceptualization of the Philippine Nation State,” Kasarinlan: Philippine Journal Of Third World Studies, vol. 12, no. 2. Kasarinlang: Philippine Journal of Third World Studies, pp. 5–24, 1996.
National Commission for Culture and the Arts, “NCCA Strategic Objectives,” 2015.
X. Fan, J., Yun, L., Fei, D., & Di, “Relationships-aware Online Public Opinion Formation Model,” Int. Conf. Comput. Autom. Eng., pp. 196–199, 2010.
D. Murthy, Twitter: Digital Media and Society Series. Cambridge, UK: Polity Press, 2013
M. Lash and K. Zhao, “Early Predictions of Movie Success: the Who, What, and When of Profitability,” J. Inf. Syst., 2016.
K. R. Apala, M. Jose, S. Motnam, C.-C. Chan, K. J. Liszka, and F. de Gregorio, “Prediction of movies box office performance using social media,” Proc. 2013 IEEE/ACM Int. Conf. Adv. Soc. Networks Anal. Min. - ASONAM ’13, no. August, pp. 1209–1214, 2013.
D. Demir, O. Kapralova, and H. Lai, “Predicting IMDB movie ratings using Google Trends,” no. 2, pp. 1–5, 2012.
C. Oh, Y. Roumani, J. K. Nwankpa, and H. F. Hu, “Beyond likes and tweets: Consumer engagement behavior and movie box office in social media,” Inf. Manag., vol. 54, no. 1, pp. 25–37, 2017
H. Rui, Y. Liu, and A. Whinston, “Whose and what chatter matters? the effect of tweets on movie sales,” Decis. Support Syst., vol. 55, no. 4, pp. 863–870, 2013
J. Gao, J. Otterbacher, and L. Hemphill, “Different Voices, Similar Perspectives? ‘Useful’ Reviews at the International Movie Database,” AMCIS 2013 Proc., no. May, pp. 1–12, 2013.
S. Mukhopadhyay, S. Conlon, and L. Simmons, “Consumer Feedback: Does Rating Reflect Reviewers’ Feelings?,” AMCIS Proc., p. Paper 164, 2011.
D. Ray and M. Tarafdar, “How Does Twitter Influence a Social Movement?,” Res. Pap., vol. 2017, pp. 3123–3132, 2017
J. Leavey, “Social media and public policy: what is the evidence?,” Alliance Useful Evid. Rep., no. September, p. 39, 2013.
J. R. Bautista and T. T. C. Lin, “Tweeting Social Support Messages After a Non-Celebrity’s Death: The Case of the Philippines’ #Fallen44,” Cyberpsychology, Behav. Soc. Netw., vol. 18, no. 11, pp. 641–646, 2015
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay, “Scikit-learn: Machine Learning in Python,” Journal of Machine Learning Research, 12, pp. 2825–2930, 2011
C. R. Soriano, M. D. G. Roldan, C. Cheng, and N. Oco, “Social media and civic engagement during calamities: the case of Twitter use during typhoon Yolanda,” Philipp. Polit. Sci. J., vol. 37, no. 1, pp. 6–25, 2016
Acknowledgements
The authors would like to thank NCCA for providing funding assistance in fulfillment of this research and the reviewers who have provided insightful comments on the first version.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ramos, C.D., Suarez, M.T., Tighe, E. (2019). Analyzing National Film Based on Social Media Tweets Input Using Topic Modelling and Data Mining Approach. In: Alfred, R., Lim, Y., Ibrahim, A., Anthony, P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore. https://doi.org/10.1007/978-981-13-2622-6_37
Download citation
DOI: https://doi.org/10.1007/978-981-13-2622-6_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2621-9
Online ISBN: 978-981-13-2622-6
eBook Packages: EngineeringEngineering (R0)