3 February 2014 SocialMood: an information visualization tool to measure the mood of the people in social networks
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guilherme Amorim, Guilherme Amorim, Roberto Franco, Roberto Franco, Rodolfo Moraes, Rodolfo Moraes, Bruno Figueiredo, Bruno Figueiredo, João Miranda, João Miranda, José Dobrões, José Dobrões, Ricardo Afonso, Ricardo Afonso, Bianchi Meiguins, 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
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT


Back to Top