An extensive analysis of online restaurant reviews: a case study of the Amazonian Culinary Tourism

• Autorzy: Fernandes Junior, Luiz Carlos Silva , Silva Junior, Jorge , Jacob Junior, Antônio , Lobato, Fábio
• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

Analyzing User-Generated Content present in social media has become mandatory for companies looking for maintaining competitiveness. These data contain information such as consumer opinions, and recommendations that are seen as rich sources of information for the development of decision support systems. When observing the state of the art, it was found that there is a lack of antecedents that address the analysis of online reviews of Brazilian restaurants. In this sense, the focus of this work is to fill this gap through a case study of Santar\'em city. The results show that professionals in this segment can use these analyzes in order to improve the user's experiences and increase their profits.

Słowa kluczowe

PL

eksploracja tekstu; systemy wspomagania decyzji; informatyka; analiza sentymentu; sieć społecznościowa; obszary miejskie

EN

text mining; decision support systems; computer science; sentiment analysis; social networking; urban areas

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 81--84
• Opis fizyczny: Bibliogr. 26 poz., wykr., rys.

Twórcy

autor

Fernandes Junior, Luiz Carlos Silva

• Federal University of Western Pará, Santarém, Brazil,

autor

Silva Junior, Jorge

• Federal University of Western Pará, Santarém, Brazil,

autor

Jacob Junior, Antônio

• State University of Maranhão, São Luís, Brazil,

autor

Lobato, Fábio

• Federal University of Western Pará, Santarém, Brazil,
• State University of Maranhão, São Luís, Brazil

Bibliografia

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• 20. D. Cirqueira, M. F. Pinheiro, A. Jacob, F. Lobato, and Á. Santana, “A literature review in preprocessing for sentiment analysis for brazilian portuguese social media,” in 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI). IEEE, 2018. https://doi.org/10.1109/WI.2018.00008
• 21. N. Rodríguez-Barroso, A. R. Moya, J. A. Fernández, E. Romero, E. Martínez-Cámara, and F. Herrera, “Deep learning hyper-parameter tuning for sentiment analysis in twitter based on evolutionary algorithms,” in 2019 Federated Conference on Computer Science and Information Systems (FedCSIS). IEEE, 2019. http://dx.doi.org/10.15439/2019F183
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• 23. L. Rodrigues, A. Junior, and F. Lobato, “Disability-Related News: An Analysis of User-Generated Content on Social Media Posts,” in In Proceedings of the 16th National Meeting on Artificial and Computational Intelligence. SBC, 2020. https://doi.org/10.5753/eniac.2019.9336
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• 25. J. Silva Junior, R. Rossi, and F. Lobato, “A Lyric-Based Approach for Brazilian Music Knowledge Discovery: Brazilian Country Music as a Case Study,” in In Proceedings of the 16th National Meeting on Artificial and Computational Intelligence. SBC, 2020. https://doi.org/10.5753/eniac.2019.9348
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Uwagi

1. Track 1: Artificial Intelligence

2. Technical Session: 15th International Symposium Advances in Artificial Intelligence and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).

Identyfikatory

DOI

10.15439/2020F179