Emotion Expression on Social Networking Sites: Exploring Mood Profiles and Depression

Other literature type English OPEN
ELIZABETH MARY SEABROOK; (2018)
  • Related identifiers: doi: 10.4225/03/5ae680a5507fb
  • Subject: Clinical Psychology | dynamics | emotion | automated language analysis | Mental Health | Applied Psychology | smartphones | depression | social media
    acm: GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)

Depression can be detected from the language people use on social media. This thesis explored patterns in the way people express emotion online and how emotion patterns can be used to identify depression from status updates. Language is complex, and the emotion expresse... View more
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