Tourism Analysis in Ecuador Through Airbnb

Abstract

In this work, the tourism analysis of Ecuador is carried out based on data of the accommodations offered through Airbnb (Ecuador) from May to July 2019; Twitter comments on the terms: accommodation, hotel and Airbnb, which resulted in the creation of a data set for each term; and finally, data extracted from the National Institute of Statistics and Censuses of Ecuador (INEC) (INEC - Inicio, [1].), which refer to the population of the cantons of that country. From these records, data analysis techniques were applied such as: sentiment analysis, language analysis and clustering. The analysis of language and feelings is applied to data extracted from Twitter, to later unify the variable of feelings with data from Airbnb and the population. Subsequently, three quantitative variables (price, density, and revisions) of the data set were considered, which facilitated the execution of the clustering. All this to describe the interaction between users and Airbnb, as well as to understand the preferences of these users over accommodation and finally, locate the cities that contribute to tourism through this platform. Considering that the coronavirus pandemic affected tourism activities in 2020, this paper provides a basis on which the pre-pandemic context can be understood.