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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)
Azinhaes, J., Batista, F. & Ferreira, J. (2021). eWOM for public institutions: application to the case of the Portuguese Army. Social Network Analysis and Mining. 11 (1)
Exportar Referência (IEEE)
J. Azinhaes et al.,  "eWOM for public institutions: application to the case of the Portuguese Army", in Social Network Analysis and Mining, vol. 11, no. 1, 2021
Exportar BibTeX
@article{azinhaes2021_1708983181028,
	author = "Azinhaes, J. and Batista, F. and Ferreira, J.",
	title = "eWOM for public institutions: application to the case of the Portuguese Army",
	journal = "Social Network Analysis and Mining",
	year = "2021",
	volume = "11",
	number = "1",
	doi = "10.1007/s13278-021-00837-w",
	url = "https://www.springer.com/journal/13278"
}
Exportar RIS
TY  - JOUR
TI  - eWOM for public institutions: application to the case of the Portuguese Army
T2  - Social Network Analysis and Mining
VL  - 11
IS  - 1
AU  - Azinhaes, J.
AU  - Batista, F.
AU  - Ferreira, J.
PY  - 2021
SN  - 1869-5450
DO  - 10.1007/s13278-021-00837-w
UR  - https://www.springer.com/journal/13278
AB  - Social media platforms provide easy access to the public opinion (called electronic word-of-mouth), which can be collected and analyzed to extract knowledge about the reputation of an organization. Monitoring this reputation in the public sector may bring several benefits for its institutions, especially in supporting decision-making and developing marketing campaigns. Thus, to offer a solution aimed at the needs of this sector, the goal of this research was to develop a methodology capable of extracting relevant information about eWOM in social media, using text mining and natural language processing techniques. Our goal was achieved through a methodology capable of handling the small amount of information regarding public state organizations in social media. Additionally, our work was validated using the context of the Portuguese Army and revealed the potential to provide indicators of institutional reputation. Our results present one of the first cases of the application of this type of techniques to an Army organization and to understand its negative reputation among the population.
ER  -