Named Entity Recognition applied on Moroccan tourism corpus
Ibrahim Bouabdallaoui, Fatima Guerouate, Samya Bouhaddour, Chaimae Saadi, Mohamed Sbihi · Procedia Computer Science · 2022
The tourism industry has particularly evolved in the era of social media, and due to the huge amount of data available on the web, tourism forums have become spaces for exchanging information about many topics concerning a country’s tourism and hospitality, which has helped to establish a bank of knowledge that might encourage artificial intelligence researchers to follow some research tracks that could lead to interesting insights for decision makers in the sphere of tourism. This paper is an application of artificial intelligence within the tourism industry in the context of Morocco, whereby we carried out natural language processing transformers to classify entities (i.e., Named Entity Recognition) in text that was collected from the Moroccan forum in TripAdvisor.