Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.

Journal: The journals of gerontology. Series B, Psychological sciences and social sciences
Published Date: Sep 1, 2017

Abstract

OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer's disease (AD) and dementia portrayal on Twitter to demonstrate its use. The approach improves feasibility of examining large publicly available datasets.

Authors

  • Nels Oscar
    School of Electrical Engineering and Computer Science, Oregon State University, Corvallis.
  • Pamela A Fox
    School of Social and Behavioral Health Sciences, Oregon State University, Corvallis.
  • Racheal Croucher
    School of Social and Behavioral Health Sciences, Oregon State University, Corvallis.
  • Riana Wernick
    Department of Integrative Biology, Oregon State University, Corvallis.
  • Jessica Keune
    School of Biological and Population Health Sciences, Oregon State University, Corvallis.
  • Karen Hooker
    School of Social and Behavioral Health Sciences, Oregon State University, Corvallis.

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