Personalitatem Lexicon: Um Léxico em Portugûes Brasileiro para Mineração de traços de Personalidade em Textos
Resumo
Este artigo apresenta estudos iniciais sobre a correlação de informações léxicas em textos em Português com características psicológicas do modelo Big Five e as facetas do NEO-IPIP. Discorre-se, especialmente, sobre o uso das classes de sentimentos do dicionário LIWC. O objetivo final é construir ou adaptar um léxico que incorpore não apenas o sentimento e/ou a polaridade das palavras, mas também suas possíveis características de personalidade.
Palavras-chave:
Personalidade, Processamento de Linguagem Natural, Big Five, NEO-IPIP
Referências
Alam, F & Riccardi, G. (2014) Fusion of Acoustic, Linguistic and Psycholinguistic Features for Speaker Personality Traits Recognition. In: Acoustics, Speech and Signal Processing (Icassp), Ieee International Conference, pp. 955-959.
Balage Filho, P.P.; Aluísio, S.M.; Pardo, T.A.S. (2013). An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis. In the Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL, pp. 215-219. October 21-23, Fortaleza/Brazil.
Bandhakavi, A. & Massie, S. (2014) Generating A Word-Emotion Lexicon From Emotional Tweets, pp. 12–21.
Celli, F & Rossi, L. (2012) The Role of Emotional Stability In Twitter Conversations. In: Proceedings of The Workshop On Semantic Analysis In Social Media. Association For Computational Linguistics, pp. 10-17.
Cummings, Richard G., and Maxwell Hsu. (2011) The effects of student response systems on performance and satisfaction: An investigation in a tax accounting class. Journal of College Teaching and Learning (TLC) 4.12.
Goldberg, L., (1992) R. The Development of Markers for The Big Five Factor Structure. In Psychological Assessment, 4(1), pp. 26–42.
Liu, H.; Lieberman H. & Selker T. (2003) A Model of Textual Affect Sensing Using RealWorld Knowledge. Proceedings of The 8th International Conference on Intelligent User Interfaces, 12-15, Miami, Florida, Usa.
Ma, C.; Prendinger, H. & Ishizuka, M. (2005) Emotion Estimation and Reasoning Based on Affective Textual Interaction, In Affective Computing and Intelligent Interaction. (First Int'l Conf. Acii. pp.622-628. Beijing, China.
Maks, I. & Vossen, P. (2012) A Lexicon Model For Deep Sentiment Analysis and Opinion Mining Applications. Decision Support Systems, Elsevier, V. 53, N. 4, pp. 680–688.
Nunes, M. A. S. N. (2008) Recommender System based on Personality Traits. Universite Montpellier 2-Lirmm-França.
Ortony, A.; Clore, G. & Colins, A. (1998) The Cognitive Structure of Emotions, Cambridge University Press.
Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends In Information Retrieval 2(1-2):1-135.
Pennebaker, J. W.; Francis, M. E. & Booth, R. J. (2001). Linguistic inquiry and word count: Liwc 2001. Mahway: Lawrence Erlbaum Associates.
Picard, R. W. (1997) Affective Computing. Mit Press, Cambridge, Ma, Usa.
Sinclair, J. (1996) Eagles Preliminary Recommendations On Corpus Typology Eag--Tcwg-Ctyp/P Version of May, ILC-CNR, Pisa.
Specia, L. & Nunes, M. (2004) Desambiguação Lexical Automática de Sentido: Um Panorama. Série de Relatórios do Núcleo Interinstitucional de Linguística Computacional. NILC - ICMC-USP, São Carlos, SP, Brasil.
Schultz, D. (1990) Theories of Personality. 4ª Ed. Brooks/Cole.
Balage Filho, P.P.; Aluísio, S.M.; Pardo, T.A.S. (2013). An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis. In the Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL, pp. 215-219. October 21-23, Fortaleza/Brazil.
Bandhakavi, A. & Massie, S. (2014) Generating A Word-Emotion Lexicon From Emotional Tweets, pp. 12–21.
Celli, F & Rossi, L. (2012) The Role of Emotional Stability In Twitter Conversations. In: Proceedings of The Workshop On Semantic Analysis In Social Media. Association For Computational Linguistics, pp. 10-17.
Cummings, Richard G., and Maxwell Hsu. (2011) The effects of student response systems on performance and satisfaction: An investigation in a tax accounting class. Journal of College Teaching and Learning (TLC) 4.12.
Goldberg, L., (1992) R. The Development of Markers for The Big Five Factor Structure. In Psychological Assessment, 4(1), pp. 26–42.
Liu, H.; Lieberman H. & Selker T. (2003) A Model of Textual Affect Sensing Using RealWorld Knowledge. Proceedings of The 8th International Conference on Intelligent User Interfaces, 12-15, Miami, Florida, Usa.
Ma, C.; Prendinger, H. & Ishizuka, M. (2005) Emotion Estimation and Reasoning Based on Affective Textual Interaction, In Affective Computing and Intelligent Interaction. (First Int'l Conf. Acii. pp.622-628. Beijing, China.
Maks, I. & Vossen, P. (2012) A Lexicon Model For Deep Sentiment Analysis and Opinion Mining Applications. Decision Support Systems, Elsevier, V. 53, N. 4, pp. 680–688.
Nunes, M. A. S. N. (2008) Recommender System based on Personality Traits. Universite Montpellier 2-Lirmm-França.
Ortony, A.; Clore, G. & Colins, A. (1998) The Cognitive Structure of Emotions, Cambridge University Press.
Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends In Information Retrieval 2(1-2):1-135.
Pennebaker, J. W.; Francis, M. E. & Booth, R. J. (2001). Linguistic inquiry and word count: Liwc 2001. Mahway: Lawrence Erlbaum Associates.
Picard, R. W. (1997) Affective Computing. Mit Press, Cambridge, Ma, Usa.
Sinclair, J. (1996) Eagles Preliminary Recommendations On Corpus Typology Eag--Tcwg-Ctyp/P Version of May, ILC-CNR, Pisa.
Specia, L. & Nunes, M. (2004) Desambiguação Lexical Automática de Sentido: Um Panorama. Série de Relatórios do Núcleo Interinstitucional de Linguística Computacional. NILC - ICMC-USP, São Carlos, SP, Brasil.
Schultz, D. (1990) Theories of Personality. 4ª Ed. Brooks/Cole.
Publicado
26/10/2015
Como Citar
MACHADO, Antonio A. A.; LONGHI, Magalí T.; NUNES, Maria A. S. N.; PARDO, Thiago A. S..
Personalitatem Lexicon: Um Léxico em Portugûes Brasileiro para Mineração de traços de Personalidade em Textos. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 26. , 2015, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 1122-1126.
DOI: https://doi.org/10.5753/cbie.sbie.2015.1122.
