Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15316-x.pdf
Reference23 articles.
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2. Althoff T, Clark K, Leskovec J (2016) Large-scale analysis of counseling conversations: an application of natural language processing to mental health. Trans Assoc Comput Linguist
3. Baba T, Baba K, Ikeda D (2020) Detecting Mental Health Illness Using Short Comments. In: Takizawa M, Xhafa F, Barolli L, Enokido T, (eds), Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. Springer Verlag.
4. Bárbara Silveira HS, Silva F, Murai, da Silva APC (2021) Predicting user emotional tone in mental disorder online communities. Future Gener Comput Syst 125:641–651
5. Caplan S, Alvidrez J, Paris M, Escobar JI, Dixon JK, Desai MM, Whittemore R, Scahill LD (2010) Subjective versus objective: an exploratory analysis of Latino primary care patients with self-perceived depression who do not fulfill primary care evaluation of mental disorders patient health questionnaire criteria for depression. Prim Care Companion J Clin Psychiatry 12(5):PCC.09m00899
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