Title | ||
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Socialmood: An Information Visualization Tool To Measure The Mood Of The People In Social Networks |
Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1117/12.2042629 | VISUALIZATION AND DATA ANALYSIS 2014 |
Keywords | Field | DocType |
Affective Norms, Generic Profiles, Information Visualization, Opinion Mining, Sentiment Analysis, Social Networks, Visualization Techniques, Visualization Tool | Data science,Mood,Social network,Information visualization,Sentiment analysis,Visualization,Computer science,Visual analytics,Big data,Creative visualization | Conference |
Volume | ISSN | Citations |
9017 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 9 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
guilherme amorim | 1 | 0 | 0.34 |
roberto yuri dasilva franco | 2 | 0 | 0.34 |
r moraes | 3 | 0 | 0.34 |
bruno figueiredo | 4 | 0 | 0.34 |
joao luiz de miranda | 5 | 0 | 0.34 |
jose dobroes | 6 | 0 | 0.34 |
ricardo alexandre afonso | 7 | 2 | 1.66 |
Bianchi Serique Meiguins | 8 | 56 | 28.03 |