Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
Año:2018
Áreas de investigación
  • Telemática
Datos
Descripción
Twitter is a social network that allows its users to exchange messages of 280 characters with the possibility of accompanying them with a photo, video and/or link. This social network has been used as a source of data for numerous research studies on the human being. This study aims to analyse and characterize the messages coming from Spanish-speaking users related to the most common sleep disorder in our society, insomnia. For this purpose, this study provides two machine learning classifiers that enable the classification of users with insomnia together with the self-reported cause. In this context, this paper proposes a novel feature extraction method that exploits the similarity measure that can be computed in word embeddings models. For training these classifiers, a dataset of tweets in Spanish containing the word insomnia has been manually annotated to draw conclusions about the geographical distribution, symptoms and the different topics that users with insomnia treat. In addition, a second dataset has been collected formed by two groups of users from Spain with insomnia and without insomnia. Analysing the timeline of both groups we have been able to extract the differences in the patterns of activity on Twitter of each of these groups.
Internacional
Si
Nombre congreso
The Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS 2018)
Tipo de participación
960
Lugar del congreso
Valencia
Revisores
Si
ISBN o ISSN
978-1-5386-9588-3
DOI
10.1109/SNAMS.2018.8554488
Fecha inicio congreso
15/10/2018
Fecha fin congreso
18/10/2018
Desde la página
11
Hasta la página
18
Título de las actas
Proceedings of SNAMS 2018
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Daniel Suarez Souto (UPM)
  • Autor: Oscar Araque Iborra (UPM)
  • Autor: Carlos Angel Iglesias Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos
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