Gradient boosting machine and LSTM network for online harassment detection and categorization in social media (2020)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; PEREIRA, FABIOLA SOUZA FERNANDES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-43887-6_25
- Subjects: MINERAÇÃO DE DADOS; MÍDIAS SOCIAIS; ASSÉDIO SEXUAL
- Keywords: Harassment detection; Twitter mining; Sexism analysis
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 1168, p. 314–320, 2020
- Conference titles: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PEREIRA, Fabíola Souza Fernandes e ANDRADE, Thiago e CARVALHO, André Carlos Ponce de Leon Ferreira de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-43887-6_25. Acesso em: 13 fev. 2026. , 2020 -
APA
Pereira, F. S. F., Andrade, T., & Carvalho, A. C. P. de L. F. de. (2020). Gradient boosting machine and LSTM network for online harassment detection and categorization in social media. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-43887-6_25 -
NLM
Pereira FSF, Andrade T, Carvalho ACP de LF de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media [Internet]. Communications in Computer and Information Science. 2020 ; 1168 314–320.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-030-43887-6_25 -
Vancouver
Pereira FSF, Andrade T, Carvalho ACP de LF de. Gradient boosting machine and LSTM network for online harassment detection and categorization in social media [Internet]. Communications in Computer and Information Science. 2020 ; 1168 314–320.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-030-43887-6_25 - Feature-based time series classification for service request opening prediction in the telecom industry
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Informações sobre o DOI: 10.1007/978-3-030-43887-6_25 (Fonte: oaDOI API)
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