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Analyzing Twitter Data of Family Caregivers of Alzheimer’s Disease Patients Based on the Depression Ontology

  • Hyon Hee Kim
  • Sohee Jeong
  • Annie Kim
  • Donghee Shin
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 536)

Abstract

In this paper, we present an ontology-based approach to analyze depression of family caregivers of Alzheimer’s disease patients. First, we developed depression ontology called OntoDepression considering the language written in social media. Four major classes and specialized subclasses are defined based on the dailyStrength, which is a well-known social media site centered on healthcare. Next, to find mental health of family caregivers of Alzheimer’s patients, their twitter data is analyzed based on the OntoDepression. Our experimental results show that negative feelings of family caregivers are not clearly revealed, while medical condition of depression symptom is highly rated. Also, their tweets mention a lot about human relationships, work and activities.

Keywords

Tweet analysis Depression ontology Family caregivers Alzheimer’s disease Mental health of family caregivers of AD patients 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Hyon Hee Kim
    • 1
  • Sohee Jeong
    • 1
  • Annie Kim
    • 1
  • Donghee Shin
    • 1
  1. 1.Dongduk Women’s UniversitySeoulSouth Korea

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