| Full text | |
| Author(s): Show less - |
dos Santos, Wesley Ramos
;
Paraboni, Ivandre
;
Crestani, F
;
Braschler, M
;
Savoy, J
;
Rauber, A
;
Muller, H
;
Losada, DE
;
Burki, GH
;
Cappellato, L
;
Ferro, N
Total Authors: 11
|
| Document type: | Journal article |
| Source: | EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2019); v. 11696, p. 6-pg., 2019-01-01. |
| 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. (AU) | |
| FAPESP's process: | 17/06828-1 - Personality traits recognition from text |
| Grantee: | Wesley Ramos dos Santos |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| FAPESP's process: | 16/14223-0 - Computational Treatment of Human Personality for Natural Language Processing Applications |
| Grantee: | Ivandre Paraboni |
| Support Opportunities: | Regular Research Grants |