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In your own words: computationally identifying interpretable themes in free-text survey data

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Wang, Jenny S, Saperstein, Aliya, Pierson, Emma
Formato:	Preprint
Publicado:	2026
Materias:	Computers and Society Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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