Mountains are a major economic challenge for French tourism, thanks to winter sports and landscapes favourable to hiking in summer and winter. Maintaining the activity of winter sports resorts requires a continuous development of services such as catering, accommodation, ski slopes, facilities, etc. in line with growing customer expectations in a highly competitive environment. One of the main concerns is to maintain the attractiveness in low season by enhancing mountain’s cultural and natural heritage. While social networks are becoming increasingly important in people's daily lives, data from the Internet provides valuable, meaningful and reliable information about people's perceptions of food, accommodation and activity offers.
Sia Partners Data Science team analyses French ski resorts e-reputation by using Natural Language Processing techniques applied to online reviews from social networks, focusing on ten of the most important French ski stations in the Alpes. It allows stakeholders in the tourism sector and inhabitants to learn more about their assets and the global perception of their territory. The main axis developed in our study are the following: restauration, accommodation and leisure activities. The sentiment analysis study has been developed with the use of the LETTRIA API.
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