Abstract
We address privacy and decision making in social networks, building a temperament model of users, employing sentiment analysis on written posts and creating PAD models of users through facial images and designing a method that combines this information into a model. We also propose a method for advising the user based on this calculated model.
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References
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Acknowledgements
This work was supported by the project TIN2014-55206-R of the Spanish government.
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Aguado, G., Julian, V., Garcia-Fornes, A. (2018). Rethinking Posts Through Emotion Awareness. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_32
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DOI: https://doi.org/10.1007/978-3-319-61578-3_32
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