Sentiment Analysis on Depression Detection: A Review

Author:

Nor Norma Mohamad,Rahman Noorihan Abdul,Yaakub Mohd Ridzwan,Zukarnain Zuriani Ahmad

Publisher

Springer International Publishing

Reference21 articles.

1. Truschel, J.: Depression definition and DSM-5 diagnostic criteria, Psycom 2019. https://www.psycom.net/depression-definition-dsm-5-diagnostic-criteria/

2. World Health Organization: Mental disorders (2019). https://www.who.int/news-room/fact-sheets/detail/mental-disorders. Accessed 02 Feb 2020

3. Mukhtar, F., Oei, T.P.S.: A review on assessment and treatment for depression in Malaysia. Depress. Res. Treat. 2011, 1–8 (2011). https://doi.org/10.1155/2011/123642

4. Chan, S.L., Hutagalung, F.D., Lau, P.L.: A review of depression and its research studies in Malaysia. Int. J. Educ. 2(4), 40–55 (2017). www.ijepc.com

5. Hassan, A., Hussain, J., Hussain, M., Sadiq, M., Lee, S.: Sentiment analysis of social networking sites (SNS) data using machine learning approach for the measurement of depression. In: International Conference Information Communication Technology Convergence ICT Convergence Technology Lead. Fourth Ind. Revolution, ICTC 2017, vol. 2017-Decem, pp. 138–140 (2017). https://doi.org/10.1109/ICTC.2017.8190959

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