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Identify how visitors' reviews on TripAdvisor can be helpful to the Lisbon destination management of a touristic region: Data Mining approach for Attraction Management
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Orientador(es)
Resumo(s)
In an era where digital platforms are transforming consumer behaviour, online reviews on
platforms such as TripAdvisor have gained increased significance within the global tourism
industry. For Lisbon, a leading tourist destination, utilizing such platforms can significantly
enhance management practices for tourist attractions. This study focuses on analysing
TripAdvisor reviews to assist the Lisbon City Council in more effectively managing tourist
attractions, highlighting the project's relevance against the backdrop of Portugal's booming
tourism sector, which plays a crucial role in the national GDP. The primary objective of this
research is to analyse sentiments and trends within TripAdvisor reviews concerning Lisbon's
tourist attractions. The objective is to provide insights that enable the Lisbon City Council to
optimize resources and enhance visitor satisfaction, promoting more responsive, visitorcentric destination management. This project employs a Data Mining approach using the
CRISP-DM methodology. It involves extracting data from TripAdvisor through web scraping
techniques, followed by data transformation and loading (ETL). Sentiment analysis, topic
modelling, and visualization techniques are then applied to interpret the data effectively. The
methodological rigor of this approach ensures comprehensive data analysis and the reliability
of the findings. The analysis has identified prevalent themes in visitor reviews, including
satisfaction levels, concerns, and suggestions for improvement. Key insights underscore the
importance of maintaining facility aesthetics and service quality to boost visitor experiences
in Lisbon, with sentiments mainly neutral to positive but negative reviews calling for urgent
improvements in customer service and infrastructure. These findings highlight TripAdvisor
reviews as a crucial resource for destination management. By integrating review analytics into
strategic planning, the Lisbon City Council can improve tourist satisfaction and effectively
manage tourism-related resources. The study concludes that a systematic approach to
analysing online reviews can provide actionable insights that significantly contribute to the
sustainable development of tourist destinations. Future research could expand to include
other data sources and real-time analysis to continuously adapt to visitor feedback.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Data Science for Marketing
Palavras-chave
Data Mining Data Science TripAdvisor Reviews TripAdvisor Sentiment Analysis SDG 8 - Decent work and economic growth