Abstract
Fundamental Big Five personality traits (e.g., Extraversion) and their facets (e.g., Activity) are known to correlate with a broad range of linguistic features and, accordingly, the recognition of personality traits from text is a well-known Natural Language Processing task. Labelling text data with facets information, however, may require the use of lengthy personality inventories, and perhaps for that reason existing computational models of this kind are usually limited to the recognition of the fundamental traits. Based on these observations, this paper investigates the issue of personality facets recognition from text labelled only with information available from a shorter personality inventory. In doing so, we provide a low-cost model for the recognition of certain personality facets, and present reference results for further studies in this field.
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References
Álvarez-Carmona, M., López-Monroy, A., Montes-y-Gómez, M., Villaseñor-Pineda, L., Escalante, H.: INAOE’s participation at PAN’15: author profiling task. In: CLEF 2015 (2015)
Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16(1), 321–357 (2002)
Coltheart, M.: The MRC psycholinguistic database. Q. J. Exp. Psychol. Sect. A: Hum. Exp. Psychol. 33(4), 497–505 (1981)
Goldberg, L.R.: An alternative description of personality: the Big-Five factor structure. J. Pers. Soc. Psychol. 59, 1216–1229 (1990)
González-Gallardo, C., et al.: Tweets classification using corpus dependent tags, character and POS N-grams. In: CLEF 2015 (2015)
Hsieh, F.C., Dias, R.F.S., Paraboni, I.: Author profiling from Facebook corpora. In: 11th International Conference on Language Resources and Evaluation (LREC-2018), Miyazaki, Japan, pp. 2566–2570. ELRA (2018)
John, O.P., Naumann, L.P., Soto, C.J.: Paradigm Shift to the Integrative Big-Five Trait Taxonomy: History, Measurement, and Conceptual Issues, pp. 114–158. Guilford Press, New York (2008)
Costa Jr., P.T., McCrae, R.R.: Revised NEO Personality Inventory (Neo-PI-R) and NEO Five-Factor Inventory (NEO-FFI): Professional Manual. Psychological Assessment Resources, Odessa (1992)
Mairesse, F., Walker, M., Mehl, M., Moore, R.: Using linguistic cues for the automatic recognition of personality in conversation and text. J. Artif. Intell. Res. (JAIR) 30, 457–500 (2007)
Mikolov, T., Yih, W., Zweig, G.: Linguistic regularities in continuous space word representations. In: Proceedings of NAACL-HLT-2013, Atlanta, USA, pp. 746–751. Association for Computational Linguistics (2013)
Nowson, S., Oberlander, J.: Identifying more bloggers: towards large scale personality classification of personal weblogs. In: Proceedings of the International Conference on Weblogs and Social Media, Boulder, Colorado, USA (2007)
Pennebaker, J.W., Francis, M.E., Booth, R.J.: Inquiry and Word Count: LIWC. Lawrence Erlbaum, Mahwah (2001)
Ramos, R.M.S., Neto, G.B.S., da Silva, B.B.C., Monteiro, D.S., Paraboni, I., Dias, R.F.S.: Building a corpus for personality-dependent natural language understanding and generation. In: 11th International Conference on Language Resources and Evaluation (LREC-2018), Miyazaki, Japan, pp. 1138–1145. ELRA (2018)
Rangel, F., Celli, F., Rosso, P., Potthast, M., Stein, B., Daelemans, W.: Overview of the 3rd author profiling task at PAN 2015. In: CLEF 2015 Evaluation Labs and Workshop, Toulouse, France (2015). CEUR-WS.org
dos Santos, V.G., Paraboni, I., da Silva, B.B.C.: Big five personality recognition from multiple text genres. In: Ekštein, K., Matoušek, V. (eds.) TSD 2017. LNCS (LNAI), vol. 10415, pp. 29–37. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64206-2_4
da Silva, B.B.C., Paraboni, I.: Learning personality traits from Facebook text. IEEE Latin Am. Trans. 16(4), 1256–1262 (2018). https://doi.org/10.1109/TLA.2018.8362165
da Silva, B.B.C., Paraboni, I.: Personality recognition from Facebook text. In: Villavicencio, A., et al. (eds.) PROPOR 2018. LNCS (LNAI), vol. 11122, pp. 107–114. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99722-3_11
Soto, C.J., John, O.P.: Ten facet scales for the Big Five Inventory: convergence with NEO PI-R facets, self-peer agreement, and discriminant validity. J. Res. Pers. 43(1), 84–90 (2009). https://doi.org/10.1016/j.jrp.2008.10.002
Ṣulea, O.M., Dichiu, D.: Automatic profiling of twitter users based on their tweets. In: CLEF 2015 (2015)
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This work received support by FAPESP grant 2017/06828-1 and 2016/14223-0.
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dos Santos, W.R., Paraboni, I. (2019). Personality Facets Recognition from Text. In: Crestani, F., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2019. Lecture Notes in Computer Science(), vol 11696. Springer, Cham. https://doi.org/10.1007/978-3-030-28577-7_15
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DOI: https://doi.org/10.1007/978-3-030-28577-7_15
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