A review on recognizing depression in social networks: challenges and opportunities (2020)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; UEYAMA, JO - ICMC ; GIUNTINI, FELIPE TALIAR - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/s12652-020-01726-4
- Subjects: COMPUTAÇÃO APLICADA; RECONHECIMENTO DE PADRÕES; DEPRESSÃO; MÍDIAS SOCIAIS; REDES SOCIAIS; SAÚDE MENTAL; REVISÃO SISTEMÁTICA
- Keywords: Depressive disorders; Affective computing; Sentiment analysis; Emotion recognition; User behavior
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2020
- Source:
- Título do periódico: Journal of Ambient Intelligence and Humanized Computing
- ISSN: 1868-5137
- Volume/Número/Paginação/Ano: v. 11, n. 11, p. 4713-4729, Nov. 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GIUNTINI, Felipe Taliar et al. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing, v. No 2020, n. 11, p. 4713-4729, 2020Tradução . . Disponível em: https://doi.org/10.1007/s12652-020-01726-4. Acesso em: 27 set. 2024. -
APA
Giuntini, F. T., Cazzolato, M. T., Reis, M. de J. D. dos, Campbell, A., Traina, A. J. M., & Ueyama, J. (2020). A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing, No 2020( 11), 4713-4729. doi:10.1007/s12652-020-01726-4 -
NLM
Giuntini FT, Cazzolato MT, Reis M de JD dos, Campbell A, Traina AJM, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities [Internet]. Journal of Ambient Intelligence and Humanized Computing. 2020 ; No 2020( 11): 4713-4729.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s12652-020-01726-4 -
Vancouver
Giuntini FT, Cazzolato MT, Reis M de JD dos, Campbell A, Traina AJM, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities [Internet]. Journal of Ambient Intelligence and Humanized Computing. 2020 ; No 2020( 11): 4713-4729.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s12652-020-01726-4 - Modeling and assessing the temporal behavior of emotional and depressive user interactions on social networks
- Tracing the emotional roadmap of depressive users on social media through sequential pattern mining
- Beyond tears and smiles with ReactSet: records of users' emotions in Facebook posts
- CallMine: fraud detection and visualization of million-scale call graphs
- TGRAPP: anomaly detection and visualization of large-scale call graphs
- TgraphSpot: fast and effective anomaly detection for time-evolving graphs
- Establishing trajectories of moving objects without identities: the intricacies of cell tracking and a solution
- An approach to the sequential evaluation of emotional behaviors of depressive users on social networks in groups and individually
- Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools
- Taking advantage of highly-correlated attributes in similarity queries with missing values
Informações sobre o DOI: 10.1007/s12652-020-01726-4 (Fonte: oaDOI API)
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