Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19133, first published .
Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning

Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning

Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning

Andrea Ferrario   1 , PhD ;   Burcu Demiray   2, 3, 4 , PhD ;   Kristina Yordanova   5, 6, 7 , Dr ;   Minxia Luo   2, 3 , MSSc ;   Mike Martin   2, 3, 4, 8 , Prof Dr

1 Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland

2 Department of Psychology, University of Zurich, Zurich, Switzerland

3 University Research Priority Program, University of Zurich, Zurich, Switzerland

4 Collegium Helveticum, Zurich, Switzerland

5 Institute of Computer Science, University of Rostock, Rostock, Germany

6 Institute of Visual & Analytic Computing, University of Rostock, Rostock, Germany

7 Interdisciplinary Faculty Ageing of Individuals and Society, University of Rostock, Rostock, Germany

8 School of Psychology, Faculty of Health and Behavioural Sciences, University of Queensland, Brisbane, Australia

Corresponding Author:

  • Andrea Ferrario, PhD
  • Department of Management, Technology, and Economics
  • ETH Zurich
  • Weinbergstrasse 56/58
  • Zurich, 8092
  • Switzerland
  • Phone: 41 44 632 86 24
  • Email: aferrario@ethz.ch