3 February 2014 SocialMood: an information visualization tool to measure the mood of the people in social networks
Author Affiliations +
Proceedings Volume 9017, Visualization and Data Analysis 2014; 90170X (2014); doi: 10.1117/12.2042629
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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

Information visualization


Social networks

Visual analytics


Image processing

Computer science


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