Depression is a major health issue that imparts major impact on the stability of mind. With the extension of various social media platforms, an expansion of number of different platforms enabled people to interact and share their experiences. These provided a large dataset for identification of common traits among depressed people and identify them using various machine learning algorithms. The limit to which we can identify the depressed traits of the person is necessary to determine the level of depression. The classification plays a major role in determining the kind of help a depressed person needs and also, the person with suicidal thoughts need to be identified and helped according to his condition. This paper provides the survey about the use of machine learning techniques in the analysis of depression with their research issues.
CITATION STYLE
Ramalingam, D., Sharma, V., & Zar, P. (2019). Study of depression analysis using machine learning techniques. International Journal of Innovative Technology and Exploring Engineering, 8(7C2), 187–191. https://doi.org/10.35940/ijitee.h7163.0881019
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