Using text similarity to detect social interactions not captured by formal reply mechanisms (2015)
- Authors:
- Autor USP: CESAR JUNIOR, ROBERTO MARCONDES - IME
- Unidade: IME
- DOI: 10.1109/eScience.2015.31
- Subjects: INTELIGÊNCIA ARTIFICIAL; MINERAÇÃO DE DADOS; WORLD WIDE WEB; REDES SOCIAIS
- Keywords: tf-idf; Twitter,; ego network; user reaction
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on eScience - e-Science
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
BARBOSA NETO, Samuel Martins e CÉSAR JÚNIOR, Roberto Marcondes e COSLEY, Dan. Using text similarity to detect social interactions not captured by formal reply mechanisms. 2015, Anais.. Los Alamitos: IEEE, 2015. Disponível em: https://doi.org/10.1109/eScience.2015.31. Acesso em: 27 dez. 2025. -
APA
Barbosa Neto, S. M., César Júnior, R. M., & Cosley, D. (2015). Using text similarity to detect social interactions not captured by formal reply mechanisms. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2015.31 -
NLM
Barbosa Neto SM, César Júnior RM, Cosley D. Using text similarity to detect social interactions not captured by formal reply mechanisms [Internet]. Proceedings. 2015 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/eScience.2015.31 -
Vancouver
Barbosa Neto SM, César Júnior RM, Cosley D. Using text similarity to detect social interactions not captured by formal reply mechanisms [Internet]. Proceedings. 2015 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/eScience.2015.31 - Computação e inovação: ampliando fronteiras para solução de desafios no Brasil
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Informações sobre o DOI: 10.1109/eScience.2015.31 (Fonte: oaDOI API)
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