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SocialMood: A visualization tool to measure the mood of students in social networks
Author(s) -
Guilherme De O. Amorim,
Rodolfo B. Moraes,
Roberto Yuri da Silva Franco,
Ricardo Afonso
Publication year - 2013
Publication title -
anais do ... simpósio brasileiro de informática na educação/anais do simpósio brasileiro de informática na educação
Language(s) - English
Resource type - Conference proceedings
eISSN - 2316-6533
pISSN - 2176-4301
DOI - 10.5753/cbie.sbie.2013.972
Subject(s) - visualization , measure (data warehouse) , computer science , data visualization , mood , human–computer interaction , data science , artificial intelligence , psychology , data mining , social psychology
Based on the arena of social networks (SN), this study, through of a visualization tool 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 data base summarizing the results, assisting in the construction and visualization of behavioral profiles generic, so we have a guideline for the visualization of information about SN through information visualization (IV) tool.

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