Gaudíand some of its most emblematic architectural works, such as the
Sagrada Familia, the
Park Güell, the
Casa Batllóor
La Pedrera, are among the most mentioned tourist attractions by users of
Instagramthat publish content in English about
Barcelona. This is indicated by a study carried out in recent months by
Eurecat, the Technological Center of Catalonia, thanks to a project by
deep learning led by
Raúl Gómez, researcher of the Multimedia Technologies Unit of this center. The main objective of this project is "to discover which words and images Instagram users associate with Barcelona and any other added concept." For example, with Barcelona and culture, or Barcelona and fun, or Barcelona and food. The project, which is still under development, was initially presented a few months ago during the sixth edition of the Forum TurisTIC. To carry out the study, more than a million images published on Instagram during the last four months of 2017 and the first months of 2018 have been analyzed. The study reveals which are the most cited tourist attractions or places. In the case of posts made in English, in addition to the aforementioned references to Gaudí's architecture, the top spots in the ranking also include the
Camp Nou, the
Tibidabo, the
Gothic Quarterand
La Rambla. The other popular terms refer to neighborhoods in Barcelona –the
Barceloneta,
Gràcia, the
Eixampleor the
Poblenou- and other nearby destinations, such as
Sitgesor
Montserrat.
Besides the places, the Eurecat project analyzes all the
words linked to Barcelonabased on publications made by Instagram users. In the case of posts made in English, data provided to The New Barcelona Post by the project leader, Raúl Gómez, show that the ten most mentioned words are, in this order, "
Spain", "
travel", "
love", "
photography", "
Catalunya", "
art", "
architecture", "
beautiful", "
city and "
happy". Among the list of the 50 most frequent words are also "
fashion", "
Gaudí", "
friendsor
beach". And, besides the architect Antoni Gaudí, the only other person on the list is the Barça footballer
Leo Messi.
The Eurecat project includes two tools. The first, called
TextNet, is responsible for analyzing all available text and learning relationships between words. The second, called
VisualNet, "learns to extract information from images that relates them to the language representation learned by TextNet," as explained in the project presentation.