Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-021-00958-1.pdf
Reference101 articles.
1. Chen B, Cheng L, Chen R, Huang Q, Phoebe Chen Y-P. Deep neural networks for multiclass sentiment classification. In: IEEE 20th International Conference on high performance computing and communications, IEEE 16th International Conference on Smart City, IEEE 4th International Conference on Data Science and Systems 2018; pp. 854–59.
2. Sethi M, Pande S, Trar P, Soni P. Sentiment identification in COVID-19 specific tweets. In: International Conference on electronics and sustainable communication systems (ICESC 2020), pp. 509–16, https://doi.org/10.1109/ICESC48915.2020.9155674.
3. Kundale JU, Kulkarni NJ. Language independent multi-class sentiment analysis. In: 5th International Conference on computing communication control and automation (ICCUBEA), 2019; pp. 1–7, https://doi.org/10.1109/ICCUBEA47591.2019.9128383.
4. Ruz GA, Henriquez PA, Mascareno A. Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers. Future Gener Comput Syst. 2020;106:92–104.
5. Yang X, McEwen R, Ong LR, Zihayat M. A big data analytics framework for detecting user-level depression from social networks. Int J Inf Manag. 2020;54:102141.
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