Analyzing User Reviews in the Tourism & Cultural Domain - The Case of the City of Athens, Greece-Reference-Cited by-同舟云学术

Analyzing User Reviews in the Tourism & Cultural Domain - The Case of the City of Athens, Greece

Published:2023 Issue: Volume: Page:284-293
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Papagiannis Tasos^ORCID,Ioannou George^ORCID,Michalakis Konstantinos^ORCID,Alexandridis Georgios^ORCID,Caridakis George^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34171-7_22

Reference18 articles.

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2. Arefeva, V., Egger, R.: When BERT started traveling: tourbert-a natural language processing model for the travel industry. Digital 2(4), 546–559 (2022). https://doi.org/10.3390/digital2040030, https://www.mdpi.com/2673-6470/2/4/30

3. Barbieri, F., Espinosa Anke, L., Camacho-Collados, J.: XLM-T: multilingual language models in Twitter for sentiment analysis and beyond. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 258–266. European Language Resources Association, Marseille, France (2022). https://aclanthology.org/2022.lrec-1.27

4. Bordogna, G., Frigerio, L., Cuzzocrea, A., Psaila, G.: Clustering geo-tagged tweets for advanced big data analytics. In: 2016 IEEE International Congress on Big Data (BigData Congress), pp. 42–51 (2016). https://doi.org/10.1109/BigDataCongress.2016.78

5. Cheng, M., Edwards, D.: Social media in tourism: a visual analytic approach. Curr. Issues Tourism 18(11), 1080–1087 (2015). https://doi.org/10.1080/13683500.2015.1036009