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Teaching Staff

Biography

Nuno António holds a PhD degree in Computer Science by ISCTE-IUL, a Masters in Hotel Administration and Management by the School of Management, Hospitality and Tourism of the University of the Algarve, and a degree in Software Engineering by ISMAT. His research interests are related to the application of Data Science, Machine Learning, Text Mining, Data Mining, and Big Data in hospitality and tourism, retail, health, and other domains. His work has been published in major scientific journals and conferences, including International Journal of Contemporary Hospitality Management, Cornell Hospitality Quarterly, Journal of Travel Research, Information Technology & Tourism, Data Science Journal, IEEE ICMLA, among others. He is actually Chief Technology Officer at Itbase/WareGuest, a company specialized in the development of software and decision support systems for the hospitality and retail industries. Additionally, he is an invited assistant professor of Machine Learning, Big Data, Data Mining and Social Media Analytics courses in Nova IMS. Nuno is certified in Business Intelligence, specialization of Business Analytics by TDWI – The Data-Warehousing Institute. He is certified as ScrumMaster and member of the Scrum Alliance and, he is also certified as Project Management Associate by IPMA - International Project Management Association.

Scientific Publications

Castro, D., António, N., Marreiros, A., & Nzwalo, H. (2025)

Understanding risk factors of post-stroke mortality. Neuroscience Informatics, 5(1), 1-13. Article 100181. https://doi.org/10.1016/j.neuri.2024.100181

Afonso, F., Rita, P., & António, N. (2024)

Using Candidates’ Tweets to Predict an Election Outcome. Political Research Quarterly, 1-18. https://doi.org/10.1177/10659129241286827

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2024)

The presence of Algarve wine producers on Facebook between pre-covid-19 and covid-19 periods. Tourism and Hospitality International Journal, 22(1), 27-62. https://revistas.rcaap.pt/thij/article/view/34312/24801

Belchior, L. M., António, N., & Fernandes, E. (2024)

Online newspaper subscriptions: using machine learning to reduce and understand customer churn. Journal of Media Business Studies, 21(4), 364-387. https://doi.org/10.1080/16522354.2024.2343638

Manteigas, C., & António, N. (2024)

Understanding and predicting lapses in mortgage life insurance using a machine learning approach. Expert Systems with Applications, Article 124753. https://doi.org/10.1016/j.eswa.2024.124753

Mentzingen, H., Antonio, N., & Lobo, V. (2024)

Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach. Artificial Intelligence and Law, 32(1), 201-230. https://doi.org/10.1007/s10506-023-09348-9

Mentzingen, H., António, N., Bação, F., & Cunha, M. (2024)

Textual similarity for legal precedents discovery: assessing the performance of machine learning techniques in an administrative court. International Journal of Information Management Data Insights, 4(2), 1-21. Article 100247. https://doi.org/10.1016/j.jjimei.2024.100247

Pereira-Macedo, J., Pias, A. D., Duarte-Gamas, L., Myrcha, P., Andrade, J. P., António, N., Marreiros, A., & Rocha-Neves, J. (2024)

Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning. Annals of vascular surgery. https://doi.org/10.1016/j.avsg.2024.10.011

Pias, A. D., Pereira-Macedo, J., Marreiros, A., António, N., & Rocha-Neves, J. (2024)

Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis. Portuguese journal of cardiac thoracic and vascular surgery, 31(3), 55-64. https://doi.org/10.48729/pjctvs.411

Vorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2024)

The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism, 27(10), 1551-1571. https://doi.org/10.1080/13683500.2023.2214353

Vorobeva, D., Pinto, D. C., González, H., & António, N. (2024)

Unveiling the Dark Side of Companies Self-Promotion of Artificial Intelligence [abstract]. In Proceedings of the European Marketing Academy (pp. 1-2). Article 119392 European Marketing Academy (EMAC). https://proceedings.emac-online.org/pdfs/A2024-119392.pdf

António, N., & Rita, P. (2023)

Twenty-two years of International Journal of Hospitality Management: A bibliometric analysis 2000–2021. International Journal of Hospitality Management, 114, 1-18. [103578]. https://doi.org/10.1016/j.ijhm.2023.103578

António, N., Correia, M. B., & Ribeiro, F. P. (2023)

Comprensión de los impactos y las motivaciones de las reseñas duplicadas en tripadvisor. [ Understanding the impacts and motivations of duplicate reviews on tripadvisor ]. Cuadernos de Turismo, 52, 219-238. https://doi.org/10.6018/turismo.593611

Costa, J., Serra, M., & António, N. (2023)

Enoturismo sustentável no Algarve: Um estudo sobre as perceções dos agentes económicos. Tourism and Hospitality International Journal, 21(1), 125-150. https://doi.org/10.57883/thij21(1)2023.32966

Dias, J. P. R., & António, N. (2023)

Predicting customer churn using Machine Learning: A case study in the software industry. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-023-00269-9

Mentzingen, H., António, N., & Bação, F. (2023)

Automation of legal precedents retrieval: Findings from a literature review. International Journal of Intelligent Systems, 2023, 1-22. [6660983]. https://doi.org/10.21203/rs.3.rs-2292464/v1, https://doi.org/10.21203/rs.3.rs-2292464/v2, https://doi.org/10.1155/2023/6660983

Peixoto, A. R., Almeida, A. D., António, N., Batista, F., & Ribeiro, R. (2023)

Diachronic profile of startup companies through social media. Social Network Analysis and Mining, 13(1), 1-18. [52]. https://doi.org/10.1007/s13278-023-01055-2

Peixoto, A. R., Almeida, A. D., António, N., Batista, F., Ribeiro, R., & Cardoso, E. (2023)

Unlocking the power of Twitter communities for startups. Applied Network Science, 8, 1-21. [66]. https://doi.org/10.21203/rs.3.rs-3062630/v1, https://doi.org/10.1007/s41109-023-00593-0

Rita, P., António, N., & Afonso, A. P. (2023)

Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1

Rita, P., António, N., & Neves, J. (2023)

The Impact of the COVID-19 Pandemic on the Tourism Sector in the Autonomous Region of Madeira. Sustainability, 15(16), 1-17. [12298]. https://doi.org/10.3390/su151612298

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2023)

Analysis of Portugal´s Wine Certifying Entities Social Networks as Communication Channels. In C. M. Q. Ramos, C. M. R. Sousa, N. M. S. Matos, & R. I. Ashqar (Eds.), Measuring Consumer Behavior in Hospitality for Enhanced Decision Making (pp. 121-160). IGI Global.

Pinto, J. P. C., & António, N. (2023)

Minding the Gaps: Constraints and Opportunities for Digital Transformation in Portuguese SMEs. In 2023 18th  Iberian Conference on Information Systems and Technologies, CISTI 2023 (pp. 1-7). (Iberian Conference on Information Systems and Technologies, CISTI; Vol. 2023-June). IEEE Computer Society Press. https://doi.org/10.23919/CISTI58278.2023.10211746

Antonio, N., Rita, P., & Saraiva, P. (2022)

Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs. Vaccines, 10(3), 1-19. [409]. https://doi.org/10.3390/vaccines10030409

Oliveira, A. S., Renda, A. I., Correia, M. B., & António, N. (2022)

Hotel customer segmentation and sentiment analysis through online reviews: An analysis of selected European markets [Segmentação de clientes hoteleiros e análise de sentimento através de avaliações online: uma análise de mercados europeus selecionados]. Tourism & Management Studies, 18(1), 29-40. https://doi.org/10.18089/tms.2022.180

Antonio, N., De Almeida, A., & Nunes, L. (2022)

Data Mining and Predictive Analytics for E-tourism. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-Tourism (pp. 1-25). Springer, Cham. https://doi.org/10.1007/978-3-030-05324-6_29-1

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2022)

Análise às redes sociais das comissões vitivinícolas portuguesas enquanto canais de comunicação. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 36). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Almeida, C. M., Afonso, C. M., Serra, M., & António, N. (2022)

The Algarve wine producers usage of Facebook between 2019 and 2022. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 36). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Jacinto, M. R. F., Pinto, E., Afonso, C. M., Serra, M., & António, N. (2022)

Nutritional adaptation of traditional recipes in the IT-AMGABAlgarve. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 114). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Serra, M., António, N., Henriques, C., & Afonso, C. M. (2022)

Promovendo a sustentabilidade através de um modelo de maridagens de gastronomia e vinhos do Algarve. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 188). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Silva, H., António, N., & Bacao, F. (2022)

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st  EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5

Silvestre, P., & António, N. (2022)

Predicting hotel bookings cancellation under pandemic times. In M. C. Santos, J. A. C. Santos, A. R. Gonçalves, & M. Á. Solano Sánchez (Eds.), TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management – Tourism & Management Studies International Conference 16 - 19 November - Olhão, Portugal : Programme and abstracts (pp. 194). Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve. https://doi.org/10.34623/eryw-0423

Aguilar Madrid, E., & Antonio, N. (2021)

Short-term electricity load forecasting with machine learning. Information (Switzerland), 12(2), 1-21. [50]. https://doi.org/10.3390/info12020050

António, N., & Rita, P. (2021)

COVID-19: The catalyst for digital transformation in the hospitality industry? Tourism & Management Studies, 17(2), 41-46. https://doi.org/10.18089/tms.2021.170204

António, N., Rita, P., & Saraiva, P. (2021)

COVID-19: Worldwide Profiles during the First 250 Days. Applied Sciences, 11(8), 1-21. [3400]. https://doi.org/10.3390/app11083400

Correia, M. B. (Guest ed.), António, N. (Guest ed.), & Ribeiro, F. P. (Guest ed.) (2021)

Special Issue "Online Reviews in Tourism and Hospitality: Different Methods and Applications". Information (Switzerland).

Sá, G., & António, N. (2021)

Mapping information systems maturity: the case of the Portuguese hospitality industry. Tourism & Management Studies, 17(4), 7-21. https://doi.org/10.18089/tms.2021.1704

Serra, M., Antonio, N., Henriques, C., & Afonso, C. M. (2021)

Promoting Sustainability through Regional Food and Wine Pairing. Sustainability, 13(24), 1-22. [13759]. https://doi.org/10.3390/su132413759

Vong, C., Rita, P., & António, N. (2021)

Health-related crises in tourism destination management: A systematic review. Sustainability (Switzerland), 13(24), 1-28. [13738]. https://doi.org/10.3390/su132413738

Afonso, C. M., Serra, M., Almeida, C. M., & Antonio, N. (2021)

Desenvolvimento de questionários de Delphi em Tempo Real no LimeSurvey: uma abordagem Design Science Research. In A. Rocha, R. Goncalves, F. G. Penalvo, & J. Martins (Eds.), Proceedings of CISTI 2021 - 16th  Iberian Conference on Information Systems and Technologies (pp. 1-6). (Iberian Conference on Information Systems and Technologies, CISTI). IEEE Computer Society Press. https://doi.org/10.23919/CISTI52073.2021.9476554

Camacho P., de Almeida A., António N. (2021)

Correia, M. B., Ribeiro, F. P., & António, N. (2021)

Análisis de comentarios online de dos ciudades patrimonio de la UNESCO. In J. A. Marmolejo Martín, S. Moral Cuadra, & M. Á. Solano Sánchez (Eds.), Turismo: nuevas tendencias y desafíos ante un escenario post-covid: [Recoge los contenidos presentados a: Congreso Internacional de Turismo (1. 2021. Melilla).] (pp. 59-69). Dykinson. https://dialnet.unirioja.es/servlet/articulo?codigo=8599354

Perdigão, F., Correia, M. B., & António, N. (2021)

Tripadivisor reviews: Users' multiple posts may be tampering with your online reviews research results. In XIII International Tourism Congress, Reinventing tourism for upcoming challenges: Book of Abstracts (pp. 204-205). Centre for Tourism Research, Development and Innovation (CiTUR) .

António, N., & Rita, P. (2020)

March 2020: 31 days that will reshape tourism. Current Issues in Tourism. [Advanced online publication on 25 december, 2020]. https://doi.org/10.1080/13683500.2020.1863927

Antonio, N.; Correia, M.B.; Ribeiro, F.P. (2020)

Exploring User-Generated Content for Improving Destination Knowledge: The Case of Two World Heritage Cities. Sustainability, 12, 9654. Link: https://doi.org/10.3390/su12229654

Nuno Antonio , Ana de Almeida , Luís Nunes (2020)

A hotel’s customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015-2018). Data in Brief (Available online 24 November 2020, 1065832020). doi: https://doi.org/10.1016/j.dib.2020.106583

Rita, P., & António, N. (2020)

Promotion of inclusive tourism by national destination management organizations. Worldwide Hospitality and Tourism Themes. https://doi.org/10.1108/WHATT-07-2020-0068

Ribeiro, F. P., António, N., & Correia, M. B. (2020)

Uma abordagem metodológica para a análise comparativa de comentários de viagens on-line de duas cidades património mundial da UNESCO – Coimbra (Portugal) e Salamanca (Espanha). In C. H. Henriques, P. D. A. B. César, V. B. M. Herédia, & M. C. Moreira (Eds.), Turismo e História: Perspectivas sobre o Patrimônio da Humanidade no Espaço Ibero-Americano (pp. 335-362). EDUCS Ensino. https://www.ucs.br/educs/arquivo/ebook/turismo-e-historia-perspectivas-sobre-o-patrimonio-da-humanidade-no-espaco-ibero-americano/

António, N., Almeida, A. de, & Nunes, L. (2019)

Predictive models for hotel booking cancellation: a semi-automated analysis of the literature. Tourism & Management Studies, 15(1), 7-21. https://dx.doi.org/10.18089/tms.2019.15011

Antonio, N., de Almeida, A., & Nunes, L. (2019)

An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations. Data Science Journal, 18(1), 32. DOI: http://doi.org/10.5334/dsj-2019-032

Antonio, N., de Almeida, A., & Nunes, L. (2019)

Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior. Cornell Hospitality Quarterly, 60(4), 298–319. https://doi.org/10.1177/1938965519851466

Antonio, N.; Almeida,A. M. de & Nunes, L. (2018)

Hotel booking demand datasets. Data in Brief, 22(february), 41-49. DOI:10.1016/j.dib.2018.11.126

Phillips, P., Antonio, N., de Almeida, A., & Nunes, L. (2019)

The Influence of Geographic and Psychic Distance on Online Hotel Ratings. Journal of Travel Research. https://doi.org/10.1177/0047287519858400

Borralho, C. M., António, N., Serra, M. & Afonso, C. M. (2019)

Produtores de vinho do Algarve no

Ribeiro, F. P., Correia, M. B. & António, N. (2019)

Uma abordagem metodológica para a análise

Antonio, N.& Serra, F. (2018)

Software as a Service: an effective platform to deliver holistic Hotel Performance Management SystemsSoftware como um Serviço: uma plataforma eficaz para oferta de sistemas holísticos de gestão da performance hoteleira. Tourism & Management Studies, 14(Especial), 25-35. https://dx.doi.org/10.18089/tms.2018.14SI103

Antonio, N., de Almeida, A., Nunes, L. et al. (2018)

Hotel online reviews: different languages, different opinions. Information Technology & Tourism 18, pp. 157–185. https://doi.org/10.1007/s40558-018-0107-x

Antonio, N., de Almeida, A., Nunes, L., Batista, F. and Ribeiro, R. (2018)

Hotel online reviews: creating a multi-source aggregated index. International Journal of Contemporary Hospitality Management, 30(12), 3574-3591. https://doi.org/10.1108/IJCHM-05-2017-0302

António, N., de Almeida, A. & Nunes, L. (2018)

Predictive models for hotel booking cancellation: a

Antonio, N.; Almeida, A. de & Nunes, L. (2017)

Predicting Hotel Booking Cancellation to Decrease Uncertainty and Increase Revenue, 3(2):25-39.DOI:10.18089/tms.2017.13203

Antonio,N.; Almeida, A. M. de & Nunes, L. M. M. (2017)

Using Data Science to Predict Hotel Booking Cancellations. In P. Vasant & Kalaivanthan M. (Eds.), Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry,pp. 140-166. IGI-Global.ISBN: 9781522510543. DOI:10.4018/978-1-5225-1054-3.ch006

Antonio, N.; Almeida, A. de & Nunes, L. (2017)

Predicting Hotel Bookings Cancellation with a Machine Learning Classification Model. 16th  IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, 2017, pp. 1049-1054.

António, N. & Serra, F. (2015)

The use of design science research in the development of a performance management system for hospitality. Dos Algarves: A Multidisciplinary e-Journal, 26(2): 23-46. DOI: 10.18089/DAMeJ.2015.26.2.2.

Antonio,N.; Serra,F.; Afonso, C. M. & Ribeiro, C. (2013)

Aplicação de um modelo de gestão de receitas: estudo de caso numa unidade hoteleira no Algarve. In C. Henriques, I. Monteiro, F. Serra, J. Santos & P. Águas (Eds.), Inovação e qualidade na hotelaria, pp. 173-191. (TMs Conferences Studies, 2013). Universidade do Algarve. ISBN: 978-989-8472-37-3