Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach.

Journal: JMIR AI
Published Date:

Abstract

BACKGROUND: Depression and momentary depressive feelings are major public health concerns imposing a substantial burden on both individuals and society. Early detection of momentary depressive feelings is highly beneficial in reducing this burden and improving the quality of life for affected individuals. To this end, the abundance of data exemplified by X (formerly Twitter) presents an invaluable resource for discerning insights into individuals' mental states and enabling timely detection of these transitory depressive feelings.

Authors

  • Ali Akbar Jamali
    Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Corinne Berger
    Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Raymond J Spiteri
    Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.

Keywords

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