SocialMood: A visualization tool to measure the mood of students in social networks
Resumo
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.
Palavras-chave:
Social Networks, Mood, Undergraduate Students, Information Visualization
Referências
Bradley, M. M., & Lang, P. J. (1999). Affective norms for English words (ANEW): Instruction manual and affective ratings (pp. 1-45). Technical Report C-1, The Center for Research in Psychophysiology, University of Florida.
Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.
Godbole, N., Srinivasaiah, M., & Skiena, S. (2007). Large-Scale Sentiment Analysis for News and Blogs. ICWSM, 7.
Godinho, P., Meiguins, B., Carmo, C., Garcia, M., Almeida, L., & Lourenço, R. (2007). PRISMA -A Multidimensional IV Tool using Multiple Coordinated Views. 11th International Conference on Information Visualization, (pp. 23-32). Zurich.
Krebs, V. (2008). Social network analysis. Retrieved on April, 26, 2008.
Kristensen, C. H., Gomes, C. F. D. A., Justo, A. R., & Vieira, K. (2011). Brazilian norms for the Affective Norms for English Words. Trends in Psychiatry and Psychotherapy, 33(3), 135-146.
Liu, B., Hu, M., & Cheng, J. (2005, May). Opinion observer: analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web (pp. 342-351). ACM.
Liu, B. (2010). Sentiment analysis and subjectivity. Handbook of natural language processing, 2, 568.
Oliveira, N. R. D., Janczura, G. A., & Castilho, G. M. D. (2013). Norms of arousal and valence for 908 Portuguese words. Psicologia: Teoria e Pesquisa, 29(2), 185-200.
Plaisant, C., Chintalapani, G., Lukehart, C., Schiro, D., & Ryan, J. (2003, October). Using visualization tools to gain insight into your data. In SPE Annual Technical Conference and Exhibition.
Rocha, H. V., & Baranauskas, M. C. (2003). Design e Avaliação de Interfaces Humano-Computador. Campinas: Instituto de Computação -Universidade Estadual de Campinas.
Stein, L. M., & Gomes, C. F. D. A. (2009). Brazilian norms for word lists: semantic association, concreteness, word frequency, and emotionality.Psicologia: Teoria e Pesquisa, 25(4), 537-546.
Toker, D., Conati, C., Steichen, B., & Carenini, G. (2013, April). Individual user characteristics and IV: Connecting the dots through eye tracking. In Proceedings of the SIGCHI Conference Human Factors in Computing Systems (pp. 295-304). ACM.
Ward, M. O., Grinstein, G., & Keim, D. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications.
Watson, D., & Clark, L. A. (1999). The PANAS-X: Manual for the positive and negative affect schedule-expanded form.
Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.
Godbole, N., Srinivasaiah, M., & Skiena, S. (2007). Large-Scale Sentiment Analysis for News and Blogs. ICWSM, 7.
Godinho, P., Meiguins, B., Carmo, C., Garcia, M., Almeida, L., & Lourenço, R. (2007). PRISMA -A Multidimensional IV Tool using Multiple Coordinated Views. 11th International Conference on Information Visualization, (pp. 23-32). Zurich.
Krebs, V. (2008). Social network analysis. Retrieved on April, 26, 2008.
Kristensen, C. H., Gomes, C. F. D. A., Justo, A. R., & Vieira, K. (2011). Brazilian norms for the Affective Norms for English Words. Trends in Psychiatry and Psychotherapy, 33(3), 135-146.
Liu, B., Hu, M., & Cheng, J. (2005, May). Opinion observer: analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web (pp. 342-351). ACM.
Liu, B. (2010). Sentiment analysis and subjectivity. Handbook of natural language processing, 2, 568.
Oliveira, N. R. D., Janczura, G. A., & Castilho, G. M. D. (2013). Norms of arousal and valence for 908 Portuguese words. Psicologia: Teoria e Pesquisa, 29(2), 185-200.
Plaisant, C., Chintalapani, G., Lukehart, C., Schiro, D., & Ryan, J. (2003, October). Using visualization tools to gain insight into your data. In SPE Annual Technical Conference and Exhibition.
Rocha, H. V., & Baranauskas, M. C. (2003). Design e Avaliação de Interfaces Humano-Computador. Campinas: Instituto de Computação -Universidade Estadual de Campinas.
Stein, L. M., & Gomes, C. F. D. A. (2009). Brazilian norms for word lists: semantic association, concreteness, word frequency, and emotionality.Psicologia: Teoria e Pesquisa, 25(4), 537-546.
Toker, D., Conati, C., Steichen, B., & Carenini, G. (2013, April). Individual user characteristics and IV: Connecting the dots through eye tracking. In Proceedings of the SIGCHI Conference Human Factors in Computing Systems (pp. 295-304). ACM.
Ward, M. O., Grinstein, G., & Keim, D. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications.
Watson, D., & Clark, L. A. (1999). The PANAS-X: Manual for the positive and negative affect schedule-expanded form.
Publicado
25/11/2013
Como Citar
AMORIM, Guilherme de O.; MORAES, Rodolfo B.; FRANCO, Roberto Y. da S.; AFONSO, Ricardo A..
SocialMood: A visualization tool to measure the mood of students in social networks. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 24. , 2013, Campinas/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 972-976.
DOI: https://doi.org/10.5753/cbie.sbie.2013.972.
