Myers-Briggs personality classification from social media text using pre-trained language models (2022)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- DOI: 10.3897/jucs.70941
- Assunto: PERSONALIDADE
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Universal Computer Science
- ISSN: 0948-695X
- Volume/Número/Paginação/Ano: v. 28, n. 4, p. 378-395, 28 Abr. 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SANTOS, Vitor Garcia dos e PARABONI, Ivandré. Myers-Briggs personality classification from social media text using pre-trained language models. Journal of Universal Computer Science, v. 28, n. 4, p. 378-395, 2022Tradução . . Disponível em: https://doi.org/10.3897/jucs.70941. Acesso em: 19 jan. 2026. -
APA
Santos, V. G. dos, & Paraboni, I. (2022). Myers-Briggs personality classification from social media text using pre-trained language models. Journal of Universal Computer Science, 28( 4), 378-395. doi:10.3897/jucs.70941 -
NLM
Santos VG dos, Paraboni I. Myers-Briggs personality classification from social media text using pre-trained language models [Internet]. Journal of Universal Computer Science. 2022 ; 28( 4): 378-395.[citado 2026 jan. 19 ] Available from: https://doi.org/10.3897/jucs.70941 -
Vancouver
Santos VG dos, Paraboni I. Myers-Briggs personality classification from social media text using pre-trained language models [Internet]. Journal of Universal Computer Science. 2022 ; 28( 4): 378-395.[citado 2026 jan. 19 ] Available from: https://doi.org/10.3897/jucs.70941 - Zoom: a corpus of natural language descriptions of map locations
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Informações sobre o DOI: 10.3897/jucs.70941 (Fonte: oaDOI API)
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