World Health Organisation reports that Depression is the most prevalent mental illness and major causes of disability in the world. Though effective treatment for Depression is known, it does not reach the majority of the sufferers in both rich as well as poor countries. In an attempt to address this issue, numerous scientists and researchers are working upon the development of Machine Learning models that shall identify the stage of depression of Twitter user from the users' public tweets and other activities on Twitter. This paper: (1) provides background on depression, use of Twitter for predictions and machine learning; (2) reviews previous studies that employed machine learning for identifying depression; and (3) attempts to guide to future work on the topic.
Krishna Shrestha (2018). Machine Learning for Depression Diagnosis using Twitter data. International Journal of Computer Engineering In Research Trends, 5(2), 56-61. Retrieved from http://ijcert.org/ems/ijcert_papers/V5I208.pdf
: Machine Learning, Artificial Intelligence, Twitter data, Depression detection, Public Health
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