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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ferreira, J. (2021). Social media insights about COVID-19 inPortugal: a text mining approach. CONASENSE 2021 SYMPOSIUM.
Exportar Referência (IEEE) 
J. C. Ferreira,  "Social media insights about COVID-19 inPortugal: a text mining approach", in CONASENSE 2021 SYMPOSIUM, 2021
Exportar BibTeX 
@misc{ferreira2021_1713564958162,
	author = "Ferreira, J.",
	title = "Social media insights about COVID-19 inPortugal: a text mining approach",
	year = "2021",
	howpublished = "Digital",
	url = "https://www.fortiss.org/termine/conasense-internationales-symposium-2021"
}
Exportar RIS 
TY  - CPAPER
TI  - Social media insights about COVID-19 inPortugal: a text mining approach
T2  - CONASENSE 2021 SYMPOSIUM
AU  - Ferreira, J.
PY  - 2021
UR  - https://www.fortiss.org/termine/conasense-internationales-symposium-2021
AB  - The rapid spread of COVID-19 around the world had a significant impact on daily life.
As in other countries, measures were taken in Portugal to combat the spread.
The objective of this paper is to attain a perception of the reality concerning the
COVID-19. With topic modeling and sentiment analysis, the adopted approach was
validated within the context of Portugal, covering data over a period of one year, but
it can equally be employed in similar situations and other countries. For this purpose,
data was extracted from three sources (Twitter, Reddit and P´ublico).
These data were prepared for application of natural language processing (NLP) tools
specific to the Portuguese language. Then, a dashboard was built, and evaluated
by experts in medical care, who highlighted the potential of the results obtained,
concluding that the information extracted reflects the events related to the pandemic.
All data will be made available upon request.
ER  -