Proposal for a dictionary of emotional terms in financial texts

Authors

DOI:

https://doi.org/10.5007/2175-8077.2019v21n55p147

Abstract

The purpose is to propose a Dictionary of Emotions in Finance, composed of words that detect the presence or not of emotions - Joy, Fear, Anger, Disgust, Surprise and Sadness - in financial texts. It started from the Dictionary of Positive and Negative Feelings in Finance, available in English, which was translated into Portuguese. Following, experts in Finance and Psychology have allocated the terms from the translation to six basic emotions studied. Finally, the software Tropes was adjusted to incorporate the dictionary expressions, allowing the detection of emotion in financial texts in electronic form. The present study constructs a Dictionary of Emotion Terms in Financial Text, composed of 301 expressions of Joy; 155 of Fear; 136 of rabies; 109 of Disgust; 70 of Surprise; and 233 of Sadness, which can be used to detect and quantify emotions in financial reporting.

Author Biographies

Sonia Raifur Kos, State University of the Midwest – UNICENTRO

Graduation in Accounting Sciences - UNICENTRO - 1996;

Specialist in Business Management and Auditing - UNICENTRO - 2004;

Master in Accounting - UFPR - 2011

 PhD in Accounting - UFPR – 2017

Jorge Eduardo Scarpin, Offut School of Bussiness – Conrcordia College

PhD in Accounting

José Simão De Paula Pinto, Federal University of Paraná – UFPR

Doctor of Medicine with a focus on computer science applied to teaching and research in surgery

References

ALFONSO, S., ERIC, D., UNIT, M. O., HOSPITAL, L. T., & MELANIE, P. Citation : SANTARPIA , A ., DUDOIT , E ., & PAUL , M . ( 2015 ). The discursive effects of the haiku-based SADUPA poetry technique in palliative care. Journal of Poetry Therapy, v. 28, n. 3, p. 179-194, 2015.

ASHFORTH, B. E., & KREINER, G. E. Normalizing emotion in organizations: Making the extraordinary seem ordinary. Human Resource Management Review, 12(2), 215–235. https://doi.org/10.1016/S1053-4822(02)00047-5, 2002.

BALAHUR, A., HERMIDA, J. M., & MONTOYO, A. Detecting Implicit Expressions of Sentiment in Text Based on Commonsense Knowledge. Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis WASSA 2011, 53–60, 2011.

BUSINESS DICTIONARY. Retrieved from http: file:///www.businessdictionary.com, 2017.

CALVO, R. A., & MAC KIM, S. Emotions in Text: Dimensional and Categorical Models. Computational Intelligence, 29(3), 527–543. https://doi.org/10.1111/j.1467-8640.2012.00456.x , 2013.

CANALES, L., & MARTÍNEZ-BARCO, P. Emotion Detection from Text. Processing in the 5th Information Systems Research Working Days. http://doi.org/10.5121/csit.2012.2237, 2014.

CHAUDURI, A. Emotion and Reason in Consumer Behavior. (Elsevier Butterworth-Heinemann, Ed.), 2006.

COSTA, E. P., & MOTA, M. Q. Estudo piloto sobre o discurso de pesquisas científicas em Design da informação: uma abordagem crítico-semântica da coerência da estrutura textual. Revista Brasileira de Design Da Informação, 12(3), 336–356, 2015.

COSTA, V. D., LANG, P. J., SABATINELLI, D., VERSACE, F., & BRADLEY, M. M. Emotional imagery: Assessing pleasure and arousal in the brain’s reward circuitry. Human Brain Mapping, 31(9), 1446–1457. https://doi.org/10.1002/hbm.20948, 2010.

COWIE, R., & CORNELIUS, R. R. Describing the emotional states that are expressed in speech. Speech Communication, 40(1–2), 5–32. https://doi.org/10.1016/S0167-6393(02)00071-7 , 2003.

DAVIDSON, R. J., SCHERER, K. R., & GOLDSMITH, H. H. (Eds.). Handbook of affective sciences. New York, NY, US: Oxford University Press, 2003.

DEERWESTER, S., DUMAIS, S. T., FURNAS, G. W., LANDAUER, T. K., & HARSHMAN, R. A. Indexing by latent semantic analysis. Jasis, 41(6), 391–407. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9, 1990.

DICCIONÁRIO-INTERNACIONAL.com. Retrieved from http://ww1.diccionario-internacional.com/ , 2017.

DICIONÁRIO CALDAS AULETE. Retrieved from http://www.aulete.com.br/, 2017.

DICIONÁRIO PRIBERAM DA LÍNGUA PORTUGUESA (DPLP). Retrieved from https://dicionario.priberam.org/ , 2017.

EKMAN, P., SORENSON, E. R., & FRIESEN, W. V. Pan-Cultural Elements in Facial Displays of Emotions.pdf. Science, New Series, 164(3875 (Apr. 4)), 86–88, 1996.

ESULI, A., & SEBASTIANI, F. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. Proceedings of the 5th Conference on Language Resources and Evaluation, 417–422. http://doi.org/10.1.1.61.7217, 2006.

FARTOUKH, M., CHANQUOY, L., & PIOLAT, A. Effects of Emotion on Writing Processes in Children. Writen Comunication, 24(4), 391–411. https://doi.org/10.1177/0741088312458640, 2012.

FERREIRA, A. A. G. As possibilidades de uso de ferramentas da informática : software para análise de dados qualitativos e ISD 1. Calidoscópio, 5(3), 168–176, 2007.

FINEMAN, S. A emoção e o processo de organizar. In Atlas (Ed.), Handbook De Estudos Organizacionais. São Paulo, 2001.

FRANCISCO, V., & GERVÁS, P. Emotag: An approach to automated markup of emotions in texts. Computational Intelligence, 29(4), 680–721. https://doi.org/10.1111/j.1467-8640.2012.00438.x, 2013.

GIGNON, M., IDRIS, H., MANAOUIL, C., & GANRY, O. The waiting room : vector for health education ? the general practitioner ’ s point of view. BMC Research Notes, 5, 1–6, 2012.

GILL, A. J., FRENCH, R. M., GERGLE, D., & OBERLANDER, J. Identifying Emotional Characteristics from Short Blog Texts. 30th Annual Conference of the Cognitive Science Society, 2237–2242, 2008.

GLOSSÁRIO JURÍDICO DO SUPREMO TRIBUNAL FEDERAL. Retrieved from http://www.stf.jus.br/portal/glossario/listarVerbetes.asp, 2017.

INVESTOR WORDS. Retrieved from http://www.investorwords.com//, 2017.

KANAANE, R. (1999). Comportamento humano nas organizaçöes: o homem rumo ao século XXI. (Atlas, Ed.) (2nd ed.). São Paulo, 1999.

LARÁN, J. A., & ROSSI, C. A. V. Surpresa e a formação da satisfação do consumidor. RAE Eletrônica, 5(1), 2006.

LAW.COM. Retrieved from https://www.law.com/?slreturn=20190809151211, 2017.

LIMA, H. M. R. Na tessitura do processo penal:: a argumentação no tribunal do júri. (Tese de Doutorado) Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil, 2006.

LOUGHRAN, T., & MCDONALD, B. When is a Liability not a Liability? Journal of Finance, 66(1), 35–65. https://doi.org/10.1111/j.1540-6261.2010.01625.x, 2011.

MARTINAZZO, B. (2010). Um Método De Identificação De Emoções Em Textos Curtos Para O Português Do Brasil. Biblioteca.Pucpr.Br. (Dissertação de Mestrado) Pontifícia Universidade Catolica do Paraná - PUC-PR, Curitiba, PR, Brasil, 2010.

MCPHAIL, K. An emotional response to the state of accounting education: developing accounting students’ emotional intelligence. Critical Perspectives on Accounting, 15(4–5), 629–648. https://doi.org/10.1016/S1045-2354(03)00050-9, 2004.

MERRIAM WEBSTER. Retrieved from https://www.merriam-webster.com/, 2017.

MITCHELL, R. L. C., & PHILLIPS, L. H. The psychological, neurochemical and functional neuroanatomical mediators of the effects of positive and negative mood on executive functions. Neuropsychologia, 45(4), 617–629. https://doi.org/10.1016/j.neuropsychologia.2006.06.030 , 2007.

MUNEZERO, M., MONTERO, C. S., SUTINEN, E., & PAJUNEN, J. Are they different? affect, feeling, emotion, sentiment, and opinion detection in text. IEEE Transactions on Affective Computing, 5(2), 101–111. 10.1109/TAFFC.2014.2317187 , 2014.

PENNEBAKER, J. W., MEHL, M. R., & NIEDERHOFFER, K. G. Psychological aspects of natural language. use: our words, our selves. Annual Review of Psychology, 54, 547–77. https://doi.org/10.1146/annurev.psych.54.101601.145041, 2003.

PIOLAT, A., & BANNOUR, R. An example of text analysis software (EMOTAIX-Tropes) use: The influence of anxiety on expressive writing. Current Psychology Letters, 25(2), 1–21, 2009.

PIOLAT, A., BOOTH, R. J., CHUNG, C. K., DAVIDS, M., & PENNEBAKER, J. W. La version française du dictionnaire pour le LIWC : modalités de construction et exemples d ’ utilisation The French dictionary for LIWC : Modalities of construction and examples of use. Psychologie Française, 56, 145–159. https://doi.org/10.1016/j.psfr.2011.07.002, 2011.

PUTTEN, J. VANDER, & NOLEN, A. L. Comparing Results From Constant Comparative and Computer Software Methods : A Reflection About Qualitative Data Analysis. Journal or Ethnographic & Qualitative Research, 5(2007), 99–112, 2010.

SCHACHT, A., & SOMMER, W. Emotions in word and face processing: Early and late cortical responses. Brain and Cognition, 69(3), 538–550. https://doi.org/10.1016/j.bandc.2008.11.005, 2009.

SHIENA, R. DI, OLIVIER, L., CHANG, B., & PHILIPPOT, P. Why are Depressive Individuals Indecisive ? Different Modes of Rumination Account for Indecision in Non-clinical Depression. Cognitive Therapy and Research, 37(4), 713–724. https://link.springer.com/article/10.1007/s10608-012-9517-9 2013.

SOUZA BRITO, I. A. G., & CESARINO, A. M. Análise do Comportamento e o Fenômeno Emocional. Fragmentos de Cultura, 26(2), 187–196, 2016.

STETS, J. E. Emotions and Sentiments. In J. Delamater (Ed.), Handbook of Social Psychology (pp. 309–335). Boston, MA: Springer US. https://link.springer.com/chapter/10.1007%2F0-387-36921-X_13, 2006.

STONE, P. J., DANPHY, D. C., SMITH, M. S., & OGILVIE, D. M. The General Inquirer: A Computer Approach to Content Analysis. (M.I.T. Press, Ed.). Oxford, 1966.

STRAPPARAVA, C., & VALITUTTI, A. WordNet-Affect: an affective extension of WordNet. Proceedings of the 4th International Conference on Language Resources and Evaluation, 1083–1086. http://www.lrec-conf.org/proceedings/lrec2004/pdf/369.pdf, 2004.

SYKORA, M. D., JACKSON, T. W., O’BRIEN, A., & ELAYAN, S. Emotive ontology: Extracting fine-grained emotions from terse, informal messages. IADIS International Journal on Computer Science and Information Systems, 8(2), 106–118, 2013.

THE FREE DICTIONARY. Retrieved from http://http://www.thefreedictionary.com//, 2017.

WANG, X., & ZHENG, Q. Text Emotion Classification Research Based on Improved Latent Semantic Analysis Algorithm. Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), (Iccsee), 210–213. https://doi.org/10.2991/iccsee.2013.55, 2013.

WIKTIONARY. Retrieved from https://https://en.wiktionary.org/, 2017.

WORDNET. Retrieved from http: http://wordnetweb.princeton.edu/perl/webwn, 2017.

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Published

2020-11-05

How to Cite

Kos, S. R., Scarpin, J. E., & Pinto, J. S. D. P. . (2020). Proposal for a dictionary of emotional terms in financial texts. Journal of Administration Science, 21(55), 147–164. https://doi.org/10.5007/2175-8077.2019v21n55p147

Issue

Vol. 21 No. 55 (2019)

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Articles

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