Detection of depressive comments on social media using RNN, LSTM, and random forest: comparison and optimization
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13278-024-01206-z.pdf
Reference30 articles.
1. Berryman C, Ferguson CJ, Negy C (2018) Social media use and mental health among young adults. Psychiatr Q 89:307–314
2. Bhadra S, Kumar CJ (2022) An insight into diagnosis of depression using machine learning techniques: a systematic review. Curr Med Res Opin 38(5):749–771. https://doi.org/10.1080/03007995.2022.2038487
3. Bhadra S, Kumar CJ (2023) Enhancing the efficacy of depression detection system using optimal feature selection from EHR. Comput Methods Biomech Biomed Engin. https://doi.org/10.1080/10255842.2023.2181660
4. Coyne SM, Rogers AA, Zurcher JD, Stockdale L, Booth M (2020) Does time spent using social media impact mental health?: An eight year longitudinal study. Comput Hum Behav 104:106160
5. CS 230 - Recurrent Neural Networks Cheatsheet. (n.d.) https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
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