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Personality Recognition from Facebook Text

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11122)

Abstract

This work concerns a study in the Natural Language Processing field aiming to recognise personality traits in Portuguese written text. To this end, we first built a corpus of Facebook status updates labelled with the personality traits of their authors, from which we trained a number of computational models of personality recognition. The models include a range of alternatives ranging from a standard approach relying on lexical knowledge from the LIWC dictionary and others, to purely text-based methods such as bag of words, word embeddings and others. Results suggest that word embedding models slightly outperform the alternatives under consideration, with the advantage of not requiring any language-specific lexical resources.

Keywords

Big Five Personality recognition 

Notes

Acknowledgements

The second author received supported from grant # 2016/14223-0, São Paulo Research Foundation (FAPESP).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Arts, Sciences and HumanitiesUniversity of São PauloSão PauloBrazil

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