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Proceedings Paper

SocialMood: an information visualization tool to measure the mood of the people in social networks
Author(s): Guilherme Amorim; Roberto Franco; Rodolfo Moraes; Bruno Figueiredo; João Miranda; José Dobrões; Ricardo Afonso; Bianchi Meiguins
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Paper 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.

Paper Details

Date Published: 3 February 2014
PDF: 6 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170X (3 February 2014); doi: 10.1117/12.2042629
Show Author Affiliations
Guilherme Amorim, Federal Univ. of Alagoas (Brazil)
Roberto Franco, Federal Univ. of Pará (Brazil)
Rodolfo Moraes, Federal Univ. of Alagoas (Brazil)
Bruno Figueiredo, Federal Univ. of Pernambuco (Brazil)
João Miranda, Federal Univ. of Pernambuco (Brazil)
José Dobrões, Federal Univ. of Pernambuco (Brazil)
Ricardo Afonso, Federal Univ. of Alagoas (Brazil)
Bianchi Meiguins, Federal Univ. of Pará (Brazil)

Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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