Work

ソーシャルメディアにおける言語的特徴に着目した統合失調症の識別

Year: 2016
Type: dissertation
Abstract: The schizophrenia is a mental disorder which affect feeling, thought, mind and motivation.30% to 50% of patients lack awareness of their disease and thus creating a chance for these people to receive medical attention is important.Patients mostly begin disease on the age of 17 to 25 and this is equal to the age of social media users.Compare to previous study focused on writes and speak of schizophrenia patients, linguistic markers on social media is not clearly understood.On this study, we focused on the richness or poverty of vocabulary found in posts on Twitter by people self-identifying as being diagnosed with schizophrenia.On classification, we expand to use not only the variation of words but also the richness and consistency of words.
Language: Japanese
Field: Psychology
Open Access status: green
OpenAlex ID: W7207995020
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