Use of AI and Text Mining on Twitter for the Analysis of the Concept of Tourism in Colombia

Vista sencilla de ítem
dc.contributor.affiliationHernández-Riaño J., Department of Marketing, University Institution Politécnico Grancolombiano, Bogotá, Colombia
dc.contributor.affiliationCasadiego-Alzate R., Department of Marketing, University Institution Politécnico Grancolombiano, Medellin, Colombia
dc.contributor.affiliationSánchez-Torres J.A., Department of Marketing, University of Medellin, Medellin, Colombia
dc.contributor.affiliationArroyo-Cañada F.-J., Department of Business, Faculty of Economics and Business, University of Barcelona-Spain, Barcelona, Spain
dc.contributor.affiliationArgila-Irurita A.M., Department of Business, Faculty of Economics and Business, University of Barcelona-Spain, Barcelona, Spain
dc.contributor.affiliationSolé-Moro M.L., Department of Business, Faculty of Economics and Business, University of Barcelona-Spain, Barcelona, Spain
dc.contributor.authorHernández-Riaño J.
dc.contributor.authorCasadiego-Alzate R.
dc.contributor.authorSánchez-Torres J.A.
dc.contributor.authorArroyo-Cañada F.-J.
dc.contributor.authorArgila-Irurita A.M.
dc.contributor.authorSolé-Moro M.L.
dc.contributor.conferencename5th International Conference on Digital Marketing and eCommerce Conference, DMEC 2024spa
dc.date.accessioned2024-12-27T20:52:22Z
dc.date.available2024-12-27T20:52:22Z
dc.date.issued2024
dc.descriptionTourism is an essential industry for the economic and social development of countries, especially in Latin America. Colombia is a case that has exploited the potential of tourism to generate income, employment and strengthen its operational infrastructure. Based on the above, the objective of this research is to identify the association or concept of tourism in Colombia from the mentions available on Twitter, a social network that allows to know the perception and experience of visitors. In this work, a three-step methodology was implemented: 1) Identify keywords associated with tourism that were suggested by experts and generative artificial intelligence tools; 2) Transform the keywords into hashtags and download the most relevant tweets using Scraping and 3) Analyze the tweets with natural language processing and text mining techniques to extract insights. The results show that the hashtags created to refer to tourism in Colombia can be coherently related to the campaigns that the country has developed at different times. Finally, it is concluded that the integration of AI, social networks and text mining represent an effective combination to understand and strengthen the concept of tourism in Colombia. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-62135-2_22
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.isbn978-303162134-5
dc.identifier.issn21987246
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8758
dc.language.isoeng
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativasspa
dc.publisher.programMercadeospa
dc.relation.citationendpage224
dc.relation.citationstartpage209
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85199512866&doi=10.1007%2f978-3-031-62135-2_22&partnerID=40&md5=765a1f2134f6008b2663356f0614887c
dc.relation.referencesAkpatsa S.K., Lei H., Li X., Obeng V.H.K.S., Evaluating public sentiment of Covid-19 vaccine tweets using machine learning techniques, Informatica, 46, 1, pp. 69-75, (2022)
dc.relation.referencesAlaei A., Wang Y., Bui V., Stantic B., Target-oriented data annotation for emotion and sentiment analysis in tourism related social media data, Future Internet, 15, 4, (2023)
dc.relation.referencesAlmeida M.D., Robots, artificial intelligence and virtual reality: An approach to tourism industries, Cuadernos De Turismo, 44, pp. 13-26, (2019)
dc.relation.referencesAnderson E.W., Customer satisfaction and word of mouth, J. Serv. Res., 1, 1, pp. 5-17, (2016)
dc.relation.referencesBandeli K.K., Agarwal N., Analyzing the role of media orchestration in conducting disinformation campaigns on blogs, Comput. Math. Organ. Theory, (2020)
dc.relation.referencesBarreto A.M., The word-of-mouth phenomenon in the social media era, Int. J. Mark. Res., 56, 5, pp. 631-654, (2014)
dc.relation.referencesColombia C., Así Se Construyen Nuestros Datos estadísticos. Flujos Migratorios, (2019)
dc.relation.referencesCarvache-Franco O., Carvache-Franco M., Carvache-Franco W., Coastal and marine topics and destinations during the COVID-19 pandemic in Twitter’s tourism hashtags, Tour. Hosp. Res., 22, 1, pp. 32-41, (2022)
dc.relation.referencesChang H.C., A new perspective on Twitter hashtag use: Diffusion of innovation theory, Proc. Am. Soc. Inf. Sci. Technol., 47, 1, pp. 1-4, (2010)
dc.relation.referencesCock B., Pedraza A.P., Claiming affective displays for forgotten places, Pragmatics, 30, 2, pp. 201-221, (2020)
dc.relation.referencesColther C., Arriagada-Millaman A., Forecast of Chile’s tourism demand based on linear and non-linear seasonal models, PASOS Revista De Turismo Y Patrimonio Cultural, 19, 2, pp. 323-336, (2021)
dc.relation.referencesDadkhah S., Shoeleh F., Yadollahi M.M., Zhang X., Ghorbani A.A., A real-time hostile activities analyses and detection system, Appl. Soft Comput., 104, (2021)
dc.relation.referencesHervas R., Arroyo J., Francisco V., Peinado F., Gervas P., Influence of personal choices on lexical variability in referring expressions, Nat. Lang. Eng., 22, 2, pp. 257-290, (2016)
dc.relation.referencesHickman L., Thapa S., Tay L., Cao M., Srinivasan P., Text preprocessing for text mining in organizational research: Review and recommendations, Organ. Res. Methods, 25, 1, pp. 114-146, (2022)
dc.relation.referencesJun J., Kim J., Tang L., Rebecca): Does social capital matter on social media? An examination into negative e-WOM toward competing brands, J. Hosp. Mark. Manag., 26, 4, pp. 378-394, (2017)
dc.relation.referencesLango M., Brzezinski D., Stefanowski J., PUT at Semeval-2016 Task 4: The ABC of Twitter Sentiment Analysis, (2016)
dc.relation.referencesMarzo-Navarro M., Pedraja-Iglesias M., Vinzon L., Percepción de los residentes sobre el desar-rollo de la micro región Tierra de Palmares desde la perspectiva del turismo rural integrado. Revista de La Facultad de, Ciencias Agrarias, 50, 2, pp. 253-278, (2018)
dc.relation.referencesC, Y T.: La Nueva Estrategia De promoción turística Del país En El Exterior | Sala De Prensa | PROCOLOMBIA, (2021)
dc.relation.referencesMorales J.R., Arevalo D.V., Padilla C.P., Bustamante M.A., Level of satisfaction and intention of repeating the touristic visit. The case of canton playas, in Ecuador, Informacion Tecnologica, 29, 1, pp. 181-192, (2018)
dc.relation.referencesMoreno Padilla R.D., The arrival of artificial intelligence to education, Revista De Investigación En Tecnologías De La Información, 7, 14, pp. 260-270, (2019)
dc.relation.referencesNava Rogel R.M., Mercado Salgado P., Vargas Martinez E.E., Gómez Díaz, M.delR.: El valor explicativo del turismo en las actividades con mayor contribución en el crecimiento económico de los municipios del Estado de México, El Periplo Sustentable, 33, pp. 132-158, (2017)
dc.relation.referencesNieto Masot A., Rios Rodriguez N., Cardenas Alonso G., PLANIFICACIÓN TURÍSTICA EN EXTREMADURA. ANÁLISIS DE SUS TERRITORIOS TURÍSTICOS, Cuadernos De Turismo, 46, pp. 291-317, (2020)
dc.relation.referencesHo P.-T., Smart tourism recommendation method in Southeast Asia under big data and artificial intelligence algorithms, Mob. Inf. Syst., (2022)
dc.relation.referencesRao S., Verma A.K., Bhatia T., A review on social spam detection: Challenges, open issues, and future directions, Expert Syst. Appl., 186, (2021)
dc.relation.referencesRoss B., Pilz L., Cabrera B., Brachten F., Neubaum G., Stieglitz S., Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks, Eur. J. Inf. Syst., 28, 4, pp. 394-412, (2019)
dc.relation.referencesSanchez Martin J.M., Sanchez Rivero M., Rengifo Gallego J.I., Análisis del equilibrio entre el potencial turístico y la oferta de alojamientos en turismo rural mediante técnicas de estadística espacial. Una aplicación a la provincia de Cáceres (España), Cuadernos De Turismo, 39, (2017)
dc.relation.referencesSanty R.D., Et al., Artificial intelligence as human behavior detection for auto personalization function in social media marketing, Int. J. Res. Appl. Technol., 1, 1, pp. 25-34, (2021)
dc.relation.referencesSeo E.J., Park J.W., A study on the effects of social media marketing activities on brand equity and customer response in the airline industry, J. Air Transp. Manage., 66, pp. 36-41, (2018)
dc.relation.referencesShahid W., Li Y., Staples D., Amin G., Hakak S., Ghorbani A., Are you a cyborg, bot or human?-A survey on detecting fake news spreaders, IEEE Access, 10, pp. 27069-27083, (2022)
dc.relation.referencesSued G.E., Catalog of digital techniques for research with content generated by social media users, PAAKAT Revista De Tecnología Y Sociedad, pp. 1-22, (2020)
dc.relation.referencesSullivan K.J., Burden M., Keniston A., Banda J.M., Hunter L.E., Characterization of anonymous physician perspectives on COVID-19 using social media data, Pacific Symposium on Biocomputing, 26, pp. 95-106, (2021)
dc.relation.referencesTchakounte F., Faissal A., Atemkeng M., Ntyam A., A reliable weighting scheme for the aggregation of crowd intelligence to detect fake news, Information (Switzerland), 11, 6, pp. 1-25, (2020)
dc.relation.referencesVieira Soares A.L., Mendes-Filho L., Barbosa Cacho, A.doN.: Estudios y Perspectivas en Turismo Volumen, Estudios Y Perspectivas En Turismo, 26, 4, pp. 884-904, (2017)
dc.relation.referencesVinan-Ludena M.S., de Campos L.M., Discovering a tourism destination with social media data: BERT-based sentiment analysis, J. Hosp. Tour. Technol., 13, 5, pp. 907-921, (2022)
dc.relation.referencesXia P., Huang Z., A novel popular tourist attraction discovering approach based on geo-tagged social media big data, ISPRS Int. J. Geo Inf., (2017)
dc.relation.referencesYang G., Kaun A., Narrative agency in hashtag activism: The case of #BlackLivesMatter, Media Commun, 4, 4, pp. 13-17, (2016)
dc.relation.referencesZhang Y., Language in our time: An empirical analysis of hashtags, The Web Conference 2019-Proceedings of the World Wide Web Conference, WWW 2019, Pp. 2378–2389, (2019)
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceSpringer Proceedings in Business and Economics
dc.sourceSpringer Proc. Bus. Econ.
dc.sourceScopus
dc.subjectAIeng
dc.subjectColombiaeng
dc.subjectText Miningeng
dc.subjectTourismeng
dc.titleUse of AI and Text Mining on Twitter for the Analysis of the Concept of Tourism in Colombiaeng
dc.typeConference paper
dc.type.localDocumento de conferenciaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Colecciones

Indexados Scopus