Cargando…
Our dreams, our selves: automatic analysis of dream reports
Sleep scientists have shown that dreaming helps people improve their waking lives, and they have done so by developing sophisticated content analysis scales. Dream analysis entails time-consuming manual annotation of text. That is why dream reports have been recently mined with algorithms, and these...
Autores principales: | Fogli, Alessandro, Maria Aiello, Luca, Quercia, Daniele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481704/ https://www.ncbi.nlm.nih.gov/pubmed/32968499 http://dx.doi.org/10.1098/rsos.192080 |
Ejemplares similares
-
Epidemic dreams: dreaming about health during the COVID-19 pandemic
por: Šćepanović, Sanja, et al.
Publicado: (2022) -
FaceLift: a transparent deep learning framework to beautify urban scenes
por: Joglekar, Sagar, et al.
Publicado: (2020) -
We are data: algorithms and the making of our digital selves
por: Cheney-Lippold, John
Publicado: (2017) -
The AI trilemma: Saving the planet without ruining our jobs
por: Ernst, Ekkehard
Publicado: (2022) -
Auditing our ‘selves’
por: Kothari, Shyam S
Publicado: (2013)