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Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study
Coppersmith et al further characterized the language of mental illnesses (eg, depression) by identifying tweets containing self-reported diagnosis (“I was diagnosed with depression today”), then analyzing the linguistic characteristics of tweets from both a self-reported depression and a control group, observing that the usage of words from the Linguistic Inquiry and Word Count (LIWC) lexicon [31] associated with negative emotions including anxiety and anger, biological states such as health and death, cognitive
J Med Internet Res 2017;19(2):e48
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