| TÃtulo : |
Análisis de sentimientos en reseñas hoteleras de Buenaventura mediante minerÃa de texto |
| Tipo de documento: |
documento electrónico |
| Autores: |
Duque Caicedo, Andrés Felipe, Autor ; Osorio Londoño, AndreÌs Alberto (1980-), Asesor ; Jiménez López, Edgar Rafael, Asesor |
| Editorial: |
Manizales [Colombia] : Universidad de Manizales* |
| Fecha de publicación: |
2026 |
| Colección: |
RiDUM - Trabajos de Grado |
| Subcolección: |
Pregrado en IngenierÃa en AnalÃtica de Datos |
| Palabras clave: |
Análitica de datos MinerÃa de Texto Desarrollo informático Turismo - Análisis EstadÃstico Percepción TurÃstica Turismo - Buenaventura (Valle del Cauca-Colombia) |
| Resumen: |
Sentiment analysis applied to tourism has become a fundamental tool for understanding visitors’ perceptions and guiding decision-making in emerging destinations. In Buenaventura, a city with significant tourism potential but affected by structural challenges such as security conditions and business informality, no studies had rigorously systematized the opinions available on digital platforms.
This project examined 3,727 reviews posted on Google between 2020 and 2025 concerning the five most frequently reviewed hotels in the city, using text mining techniques, automated sentiment analysis, and data visualization. The process followed the CRISP-DM model, integrating automated scraping through Apify, a processing workflow in Azure based on the Bronze–Silver–Gold architecture, and semantic enrichment generated through Azure Cognitive Services – Text Analytics.
The study enabled the classification of emotions, the identification of thematic aspects, and the detection of narrative trends associated with the tourism experience. Manual validation of a 3% sample yielded an interpretative coherence of 90.2%. The findings were incorporated into interactive dashboards in Power BI, creating a visual system capable of revealing satisfaction patterns, thematic alerts, and gaps in hotel responses, offering strategic value for tourists, business owners, and local institutions. |
| Tipo de medio : |
Computadora |
| En lÃnea: |
https://ridum.umanizales.edu.co/handle/20.500.12746/8174 |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
Análisis de sentimientos en reseñas hoteleras de Buenaventura mediante minerÃa de texto [documento electrónico] / Duque Caicedo, Andrés Felipe, Autor ; Osorio Londoño, AndreÌs Alberto (1980-), Asesor ; Jiménez López, Edgar Rafael, Asesor . - Manizales [Colombia] : Universidad de Manizales*, 2026. - ( RiDUM - Trabajos de Grado. Pregrado en IngenierÃa en AnalÃtica de Datos) .
| Palabras clave: |
Análitica de datos MinerÃa de Texto Desarrollo informático Turismo - Análisis EstadÃstico Percepción TurÃstica Turismo - Buenaventura (Valle del Cauca-Colombia) |
| Resumen: |
Sentiment analysis applied to tourism has become a fundamental tool for understanding visitors’ perceptions and guiding decision-making in emerging destinations. In Buenaventura, a city with significant tourism potential but affected by structural challenges such as security conditions and business informality, no studies had rigorously systematized the opinions available on digital platforms.
This project examined 3,727 reviews posted on Google between 2020 and 2025 concerning the five most frequently reviewed hotels in the city, using text mining techniques, automated sentiment analysis, and data visualization. The process followed the CRISP-DM model, integrating automated scraping through Apify, a processing workflow in Azure based on the Bronze–Silver–Gold architecture, and semantic enrichment generated through Azure Cognitive Services – Text Analytics.
The study enabled the classification of emotions, the identification of thematic aspects, and the detection of narrative trends associated with the tourism experience. Manual validation of a 3% sample yielded an interpretative coherence of 90.2%. The findings were incorporated into interactive dashboards in Power BI, creating a visual system capable of revealing satisfaction patterns, thematic alerts, and gaps in hotel responses, offering strategic value for tourists, business owners, and local institutions. |
| Tipo de medio : |
Computadora |
| En lÃnea: |
https://ridum.umanizales.edu.co/handle/20.500.12746/8174 |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
Hacer una sugerencia Refinar búsquedaAnálisis de sentimientos en reseñas hoteleras de Buenaventura mediante minerÃa de texto / Duque Caicedo, Andrés Felipe
