3 February 2014 SocialMood: an information visualization tool to measure the mood of the people in social networks
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Abstract
Based on the arena of social networks, the tool developed in this study aims to identify trends mood among undergraduate students. Combining the methodology Self-Assessment Manikin (SAM), which originated in the field of Psychology, the system filters the content provided on the Web and isolates certain words, establishing a range of values as perceived positive, negative or neutral. A Big Data summarizing the results, assisting in the construction and visualization of behavioral profiles generic, so we have a guideline for the development of information visualization tools for social networks.
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Guilherme Amorim, Roberto Franco, Rodolfo Moraes, Bruno Figueiredo, João Miranda, José Dobrões, Ricardo Afonso, Bianchi Meiguins, "SocialMood: an information visualization tool to measure the mood of the people in social networks", Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170X (3 February 2014); doi: 10.1117/12.2042629; https://doi.org/10.1117/12.2042629
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