Memorias de investigación
Communications at congresses:
How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining
Year:2018

Research Areas
  • Telematics

Information
Abstract
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.
International
Si
Congress
The Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS 2018)
960
Place
Valencia
Reviewers
Si
ISBN/ISSN
978-1-5386-9588-3
10.1109/SNAMS.2018.8554488
Start Date
15/10/2018
End Date
18/10/2018
From page
11
To page
18
Proceedings of SNAMS 2018
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos