Title
Socialmood: An Information Visualization Tool To Measure The Mood Of The People In Social Networks
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.
Year
DOI
Venue
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