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Trabalho de evento
Social bots detection in Brazilian presidential elections using natural language processing (2021)
Ferreira, Gabriel Estavaringo; Santos, Bianca Lima; Ó, Marcelo Torres do; Braz, Rafael Rodrigues; Digiampietri, Luciano Antonio
Source: SBSI 2021. Conference titles: XVII Brazilian Symposium on Information Systems. Unidade: EACH
Subjects: REDES SOCIAIS, ELEIÇÃO PRESIDENCIAL, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Gabriel Estavaringo et al. Social bots detection in Brazilian presidential elections using natural language processing. 2021, Anais.. Uberlândia: Federal University of Uberlândia, 2021. Disponível em: https://dl.acm.org/doi/pdf/10.1145/3466933.3466991. Acesso em: 16 nov. 2024.
APA
Ferreira, G. E., Santos, B. L., Ó, M. T. do, Braz, R. R., & Digiampietri, L. A. (2021). Social bots detection in Brazilian presidential elections using natural language processing. In SBSI 2021. Uberlândia: Federal University of Uberlândia. Recuperado de https://dl.acm.org/doi/pdf/10.1145/3466933.3466991
NLM
Ferreira GE, Santos BL, Ó MT do, Braz RR, Digiampietri LA. Social bots detection in Brazilian presidential elections using natural language processing [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466991
Vancouver
Ferreira GE, Santos BL, Ó MT do, Braz RR, Digiampietri LA. Social bots detection in Brazilian presidential elections using natural language processing [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466991
Trabalho de evento
Improving researcher’s area of expertise identification using TF-IDF Characters N-grams (2021)
Fonseca, Felipe P. C.; Digiampietri, Luciano Antonio
Source: SBSI 2021. Conference titles: XVII Brazilian Symposium on Information Systems. Unidade: EACH
Subjects: REDES SOCIAIS, PESQUISADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONSECA, Felipe P. C. e DIGIAMPIETRI, Luciano Antonio. Improving researcher’s area of expertise identification using TF-IDF Characters N-grams. 2021, Anais.. Uberlândia: Federal University of Uberlândia, 2021. Disponível em: https://dl.acm.org/doi/pdf/10.1145/3466933.3466984. Acesso em: 16 nov. 2024.
APA
Fonseca, F. P. C., & Digiampietri, L. A. (2021). Improving researcher’s area of expertise identification using TF-IDF Characters N-grams. In SBSI 2021. Uberlândia: Federal University of Uberlândia. Recuperado de https://dl.acm.org/doi/pdf/10.1145/3466933.3466984
NLM
Fonseca FPC, Digiampietri LA. Improving researcher’s area of expertise identification using TF-IDF Characters N-grams [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466984
Vancouver
Fonseca FPC, Digiampietri LA. Improving researcher’s area of expertise identification using TF-IDF Characters N-grams [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466984
Trabalho de evento
Methods and Challenges in Social bots Detection: a Systematic Review (2021)
Morais, Daniel; Digiampietri, Luciano Antonio
Source: SBSI 2021. Conference titles: XVII Brazilian Symposium on Information Systems. Unidade: EACH
Assunto: REDES SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAIS, Daniel e DIGIAMPIETRI, Luciano Antonio. Methods and Challenges in Social bots Detection: a Systematic Review. 2021, Anais.. Uberlândia: Federal University of Uberlândia, 2021. Disponível em: https://dl.acm.org/doi/pdf/10.1145/3466933.3466973. Acesso em: 16 nov. 2024.
APA
Morais, D., & Digiampietri, L. A. (2021). Methods and Challenges in Social bots Detection: a Systematic Review. In SBSI 2021. Uberlândia: Federal University of Uberlândia. Recuperado de https://dl.acm.org/doi/pdf/10.1145/3466933.3466973
NLM
Morais D, Digiampietri LA. Methods and Challenges in Social bots Detection: a Systematic Review [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466973
Vancouver
Morais D, Digiampietri LA. Methods and Challenges in Social bots Detection: a Systematic Review [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/pdf/10.1145/3466933.3466973
Trabalho de evento
Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19 (2021)
Lira, Diego Bezerra; Xavier, Fernando ; Digiampietri, Luciano Antonio
Source: SBSI 2021. Conference titles: XVII Brazilian Symposium on Information Systems. Unidade: EACH
Subjects: REDES SOCIAIS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIRA, Diego Bezerra e XAVIER, Fernando e DIGIAMPIETRI, Luciano Antonio. Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19. 2021, Anais.. Uberlândia: Federal University of Uberlândia, 2021. Disponível em: https://dl.acm.org/doi/10.1145/3466933.3466970. Acesso em: 16 nov. 2024.
APA
Lira, D. B., Xavier, F., & Digiampietri, L. A. (2021). Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19. In SBSI 2021. Uberlândia: Federal University of Uberlândia. Recuperado de https://dl.acm.org/doi/10.1145/3466933.3466970
NLM
Lira DB, Xavier F, Digiampietri LA. Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19 [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/10.1145/3466933.3466970
Vancouver
Lira DB, Xavier F, Digiampietri LA. Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19 [Internet]. SBSI 2021. 2021 ;[citado 2024 nov. 16 ] Available from: https://dl.acm.org/doi/10.1145/3466933.3466970

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