Skip to main content

Towards a Linguistic Corpus in Spanish with Personality Annotations

  • Conference paper
  • First Online:
Advances in Computational Intelligence (MICAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10633))

Included in the following conference series:

  • 459 Accesses

Abstract

Personality is a combination of characteristics that determine the behavior of individuals in different situations, and it affects people interaction, relationships and environment. To know the personality can be useful to several tasks like marketing and personnel recruitment. Previous research indicates that personality can be predicted by text analysis. We are constructing a linguistic corpus with personality annotation for Spanish language with base on the DISC Model of personality. The corpus aim is to support personality prediction. As a basis for the corpus, we have conducted a study with 120 individuals, they answered a personality test and written some paragraphs. In this paper, we present our approach to construct the corpus base and the results of the study.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Pratama, B.Y., Sarno, R.: Personality classification based on twitter text using Naïve Bayes, KNN and SVM. In: 2015 International Conference on Data and Software Engineering (ICoDSE), pp. 170–174 (2015)

    Google Scholar 

  2. Cantador, I., Fernández-Tobías, I., Bellogín, A.: Relating personality types with user preferences in multiple entertainment domains. In: CEUR Workshop Proceedings, vol. 997 (2013)

    Google Scholar 

  3. Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting personality from twitter. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third International Conference on Social Computing (SocialCom), pp. 149–156 (2011)

    Google Scholar 

  4. Tupes, E.C., Christal, R.: Recurrent personality factors based on trait ratings. J. Pers. 60(2), 225–251 (1992)

    Article  Google Scholar 

  5. Eysenck, H.J.: Dimensions of Personality. Transaction Publishers, Piscataway (1950)

    Google Scholar 

  6. Marston, W.M.: Emotions of normal people. Int. Libr. Psychol. Philos. Sci. Method 405, p. xiii (1928)

    Google Scholar 

  7. A. S. Ltd.: What is DISC? https://www.discusonline.com/disc/what-is-disc.php. Accessed 1 Jan 2017

  8. Sáez Achaerandio, Y., Navarro, C., Mochón Sáez, A., Isasi Viñuela, P.: A system for personality and happiness detection. IJIMAI 2(5), 8–16 (2014)

    Google Scholar 

  9. Lima, A.C.E.S., de Castro, L.N.: A multi-label, semi-supervised classification approach applied to personality prediction in social media. Neural Netw. 58, 122–130 (2014)

    Article  Google Scholar 

  10. Wald, R., Khoshgoftaar, T., Sumner, C.: Machine prediction of personality from Facebook profiles. In: 2012 IEEE 13th International Conference on Information Reuse and Integration (IRI), pp. 109–115 (2012)

    Google Scholar 

  11. Yuniar, I., Agung, A.A.G.: Personality assessment website using DISC. In: 2016 International Conference on Information Management and Technology (ICIMTech), pp. 72–77, Nov 2016

    Google Scholar 

  12. Celli, F.: Unsupervised personality recognition for social network sites. In: ICDS 2012 sixth International Conference on Digital Society, pp. 59–62 (2012)

    Google Scholar 

  13. Goh, J.X., Schlegel, K., Tignor, S.M., Hall, J.A.: Who is interested in personality? The interest in personality scale and its correlates. Personality Individ. Differ. 101, 185–191 (2016)

    Article  Google Scholar 

  14. Luyckx, K., Daelemans, W.: European language resources, “personae: a corpus for author and personality prediction from text”. In: Sixth International Conference on Language Resource Evaluation LREC 2008, May 2017, pp. 2981–2987 (2008)

    Google Scholar 

  15. Liu, Y., Wang, J., Jiang, Y.: PT-LDA: a latent variable model to predict personality traits of social network users. Neurocomputing 210, 155–163 (2016)

    Article  Google Scholar 

  16. Anglim, J., Grant, S.L.: Incremental criterion prediction of personality facets over factors: obtaining unbiased estimates and confidence intervals. J. Res. Pers. 53, 148–157 (2014)

    Article  Google Scholar 

  17. de Vries, R.E., Tybur, J.M., Pollet, T.V., van Vugt, M.: Evolution, situational affordances, and the HEXACO model of personality. Evol. Hum. Behav. 37(5), 407–421 (2015)

    Article  Google Scholar 

  18. John, O.P., Srivastava, S.: Big five inventory (Bfi). Handb. Personal. Theory Res. 2, 102–138 (1999)

    Google Scholar 

  19. Adali, S., Golbeck, J.: Predicting personality with social behavior. In: 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 302–309 (2012)

    Google Scholar 

  20. Taulé, M.: SENSEVAL, una aproximación computacional al significado, pp. 1–13 (2003)

    Google Scholar 

  21. Peng, K.-H., Liou, L.-H., Chang, C.-S., Lee, D.-S.: Predicting personality traits of Chinese users based on Facebook wall posts. In: 2015 24th Wireless and Optical Communication Conference (WOCC), pp. 9–14 (2015)

    Google Scholar 

  22. Celli, F., Pianesi, F., Stillwell, D., Kosinski, M.: Workshop on computational personality recognition: shared task. Proc. Work. Pers. Recogn. 2006, 2–5 (2013)

    Google Scholar 

  23. I. Publishing: Research report. Technology, pp. 15–25 (2008)

    Google Scholar 

  24. D. Insight: The DISC Insights Web Development Team. https://www.discinsights.com/

  25. D. P. 4U: DISC Behavioral Styles. http://www.discprofiles4u.com/

  26. Bradberry, T.: El Codigo de La Personalidad. Editorial Norma, Bogotá colombia (2008)

    Google Scholar 

  27. Freeling. http://nlp.lsi.upc.edu/freeling/node/1

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yasmín Hernandez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hernandez, Y., Peña, C.A., Martínez, A. (2018). Towards a Linguistic Corpus in Spanish with Personality Annotations. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Computational Intelligence. MICAI 2017. Lecture Notes in Computer Science(), vol 10633. Springer, Cham. https://doi.org/10.1007/978-3-030-02840-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02840-4_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02839-8

  • Online ISBN: 978-3-030-02840-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics