Reference:

Krista Lagus, Juho Saari, Ilari T. Nieminen, and Timo Honkela. Exploration of loneliness questionnaires using the self-organising map. In Valeri Mladenov, Petia D. Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Apollini, and Nikola Kasabov, editors, Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks, pages 405–411, 2013.

Abstract:

Statistical machine learning methods can provide help when developing preventative services and tools that support the empowerment of individuals. We explore how the self-organizing map could be utilized as a tool for analyzing, visualizing and browsing heterogeneous survey data on wellbeing that contains both quantitative (numeric) and qualitative (text) data. There is systematic evidence implying that social isolation has drastic consequences for subjective well-being and health. It is important to obtain a deeper understanding of the phenomenon. Analysis of loneliness questionnaire data (N=521) succeeds in identifying profiles of loneliness as well as identifies crowd-sourced ideas for improving social wellbeing among the different subgroups.

Suggested BibTeX entry:

@inproceedings{lagus2013loneliness,
    author = {Krista Lagus and Juho Saari and Ilari T. Nieminen and Timo Honkela},
    booktitle = {Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks},
    editor = {Valeri Mladenov and Petia D. Koprinkova-Hristova and G{\"u}nther Palm and Alessandro E. P. Villa and Bruno Apollini and Nikola Kasabov},
    language = {eng},
    pages = {405-411},
    title = {Exploration of Loneliness Questionnaires Using the Self-Organising Map},
    year = {2013},
}