Análise Exploratória das Dúvidas sobre a COVID-19 Publicadas no Twitter
Resumo
As pessoas comumente postam dúvidas sobre saúde em redes sociais. Neste trabalho foi desenvolvido um método baseado em modelagem de tópicos para descobrir as principais questões relacionadas à COVID-19 publicadas no Twitter. Também foi desenvolvido um modelo para identificar as principais entidades de diferentes categorias. As descobertas podem ajudar os políticos e organizações de saúde no entendimento das principais dúvidas sobre a doença.
Palavras-chave:
Modelagem de Tópicos, Twitter, COVID-19, Processamento de Linguagem Natural
Referências
Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hamdi, M., and Shah, Z. (2020). Top concerns of tweeters during the covid-19 pandemic: infoveillance study. JMIR, 22(4):e19016.
Honnibal, M. (acessado em 26 de maio de 2020). spaCy.
Paul, S. A., Hong, L., and Chi, E. H. (2011). Is twitter a good place for asking questions? a characterization study. In Fifth International AAAI Conference on Weblogs and Social Media.
Roder, M., Both, A., and Hinneburg, A. (2015). Exploring the space of topic coherencemeasures. In Proceedings of the eighth ACM international conference on Web search and data mining, pages 399–408.
Santos, J., Consoli, B., dos Santos, C., Terra, J., Collonini, S., and Vieira, R. (2019). Assessing the impact of contextual embeddings for portuguese named entity recognition. In 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), pages 437–442.
Santos, J. T. L., Anastacio, I. M., and Martins, B. E. (2015). Named entity disambiguation over texts written in the portuguese or spanish languages. IEEE Latin America Transactions, 13(3):856–862.
Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., and Merchant,R. M. (2017). Twitter as a tool for health research: a systematic review. American journal of public health, 107(1):e1–e8.
Zahra, K., Ostermann, F. O., and Purves, R. S. (2017). Geographic variability of twitter usage characteristics during disaster events. Geospatial information science,20(3):231–240.
Zhao, Z. and Mei, Q. (2013). Questions about questions: An empirical analysis of information needs on twitter. In Proceedings of the 22nd international conference on World Wide Web, pages 1545–1556.
Honnibal, M. (acessado em 26 de maio de 2020). spaCy.
Paul, S. A., Hong, L., and Chi, E. H. (2011). Is twitter a good place for asking questions? a characterization study. In Fifth International AAAI Conference on Weblogs and Social Media.
Roder, M., Both, A., and Hinneburg, A. (2015). Exploring the space of topic coherencemeasures. In Proceedings of the eighth ACM international conference on Web search and data mining, pages 399–408.
Santos, J., Consoli, B., dos Santos, C., Terra, J., Collonini, S., and Vieira, R. (2019). Assessing the impact of contextual embeddings for portuguese named entity recognition. In 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), pages 437–442.
Santos, J. T. L., Anastacio, I. M., and Martins, B. E. (2015). Named entity disambiguation over texts written in the portuguese or spanish languages. IEEE Latin America Transactions, 13(3):856–862.
Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., and Merchant,R. M. (2017). Twitter as a tool for health research: a systematic review. American journal of public health, 107(1):e1–e8.
Zahra, K., Ostermann, F. O., and Purves, R. S. (2017). Geographic variability of twitter usage characteristics during disaster events. Geospatial information science,20(3):231–240.
Zhao, Z. and Mei, Q. (2013). Questions about questions: An empirical analysis of information needs on twitter. In Proceedings of the 22nd international conference on World Wide Web, pages 1545–1556.
Publicado
18/07/2021
Como Citar
MELO, Tiago de.
Análise Exploratória das Dúvidas sobre a COVID-19 Publicadas no Twitter. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 10. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 175-180.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2021.16136.
