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2019 | OriginalPaper | Chapter

Personality Facets Recognition from Text

Authors : Wesley Ramos dos Santos, Ivandré Paraboni

Published in: Experimental IR Meets Multilinguality, Multimodality, and Interaction

Publisher: Springer International Publishing

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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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Metadata
Title
Personality Facets Recognition from Text
Authors
Wesley Ramos dos Santos
Ivandré Paraboni
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-28577-7_15

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