Author:
Olmos-Martínez Elizabeth,Álvarez-Carmona Miguel Á.,Aranda Ramón,Díaz-Pacheco Angel
Abstract
Purpose
This study aims to present a framework for automatically collecting, cleaning and analyzing text (news articles, in this case) to provide valuable decision-making information to destination management organizations. Keeping a record of certain aspects of the projected destination image of an attraction (Cancun in this study) will grant the design of better strategies for the promotion and administration of destinations without the time-consuming effort of manually evaluating high quantities of textual information.
Design/methodology/approach
Using Web scraping, news articles were collected from the USA, Mexico and Canada over an interval of one year. The documents were analyzed using an automatic topic modeling method known as Latent Dirichlet Allocation and a coherence analysis to determine the number of themes present in each collection. With the data provided, the authors were able to extract valuable information to understand how Cancun is presented to the countries.
Findings
It was found that in all countries, Cancun is an important destination to travel and vacation; however, given the period defined for this study (from July 2021 to July 2022), an important part of the articles analyzed was concerned with the sanitary measures derived from the COVID-19 pandemic. Besides, given the rise of violence and the threat of organized crime, many articles from the three countries are focused on warning potential tourists about the risks of traveling to Cancun.
Originality/value
The examination of the relevant literature revealed that similar analyses are manually performed by the experts on a set of predefined categories. Although those approaches are methodologically sound, the logistic effort and the time used could become prohibitively expensive, precluding carrying out this analysis frequently. Additionally, the preestablished categories to be studied in press articles may distort the results. For these reasons, the proposed framework automatically allows for gathering valuable information for decision-making in an unbiased manner.
Subject
Tourism, Leisure and Hospitality Management,Geography, Planning and Development,Management, Monitoring, Policy and Law
Reference48 articles.
1. Destination image and tourist behavioural intentions: A meta-analysis;Tourism Management,2020
2. Article: toward an Arabic stop-words list generation;International Journal of Computer Applications,2012
3. Arabic morphological analysis techniques: A comprehensive survey;Journal of the American Society for Information Science and Technology,2004
4. Álvarez-Carmona, M. Á., Aranda, R., Arce-Cardenas, S., Fajardo-Delgado, D., Guerrero-Rodríguez, R., López-Monroy, A. P., … Rodríguez-González, A. Y. (2021). Overview of rest-mex at iberlef 2021: Recommendation system for text Mexican tourism. Proce- samiento del Lenguaje Natural. Retrieved from http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6386
5. Classifying the Mexican epidemiological semaphore colour from the covid-19 text Spanish news;Journal of Information Science,2022
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