Abstract
Understanding the sentiment of people is a process that may be useful when transforming a city into a smart city. A recent trend is to exploit social media data to infer people sentiments. While many studies focused on textual data, few considered the visual contents. In this paper we investigate whether the images available in the Instagram platform can be useful to understand people sentiments. Through an experimental assessment and two different validation methods, we observed that although the use of images in sentiment analysis can be useful to have insights about people sentiments, the use of Instagram images may be slightly misleading.
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References
Amaba, B.A.: Industrial and business systems for smart cities. In: Proceedings of EMASC, EMASC 2014, pp. 21–22. ACM, New York (2014)
Komninos, N., Tsarchopoulos, P., Kakderi, C.: New services design for smart cities: a planning roadmap for user-driven innovation. In: Proceedings of WiMobCity (2014)
Roccetti, M., Marfia, G., Palazzi, C.E.: Entertainment beyond divertissment: using computer games for city road accessibility. Comput. Entertain. 9(2), 10:1–10:9 (2011)
Siersdorfer, S., Minack, E., Deng, F.: Analyzing and predicting sentiment of images on the social web. In: International Conference on Multimedia (2010)
Abdullah, S., Murnane, E.L., Costa, J.M.R. Choudhury, T.: Collective smile: measuring societal happiness from geolocated images. In: Proceedings of CSCW (2015)
Montangero, M., Furini, M.: Trank: ranking Twitter users according to specific topics. In: Proceedings of the 12th International IEEE Consumer Communications and Networking Conference (CCNC 2015), January 2015
Furini, M., Tamanini, V.: Location privacy and public metadata in social media platforms: attitudes, behaviors and opinions. Multimed. Tools Appl. 74(21), 9795–9825 (2015)
Furini, M.: Users behavior in location-aware services: digital natives vs digital immigrants. Adv. Hum. Comput. Interact. 2014, 23 pages (2014). Article ID 678165
Oliveira, E., Martins, P., Chambel, T.: Accessing movies based on emotional impact. Multimed. Syst. 19(6), 559–576 (2013)
Furini, M.: Vimood: using social emotions to improve video indexing. In: Proceedings of the 12th International IEEE Consumer Communications and Networking Conference (CCNC 2015), January 2015
Plutchik, R.: Emotion: A Psychoevolutionary Synthesis. Harper and Row, New York (1980)
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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De Michele, R., Furini, M. (2016). Understanding the City to Make It Smart. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_22
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DOI: https://doi.org/10.1007/978-3-319-47063-4_22
Publisher Name: Springer, Cham
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