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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 ofdoi:10.5753/cbie.sbie.2013.972 fatcat:kvuibk3fkjasdjecfshvidj3aq