Results 81 to 90 of about 1,004 (184)

Do Customer Complaints Differ by Restaurant Types? Evidence from Online Reviews

Journal of Tourismology
This study aimed to evaluate the service failures experienced by foreign tourists according to different restaurant types. Document analysis was used as a data collection technique and content analysis was used as a data analysis method in this ...
Mustafa Ülker, Çağrı Sürücü, Pembe Ülker   +2 more
doaj   +1 more source

Examining the Relationship between Hoteliers’ Review Site Use Intensity and Hotel Characteristics - Moroccan Hotels [PDF]

Journal of Spatial and Organizational Dynamics, 2019
Due to rapid development and consumer adoption of technology, the hospitality industry has dramatically increased online-based user-generated reviews for a variety of services, such as those found in eWOM communities (e.g., TripAdvisor). Few studies have
Abderrahman Ait-Bakrim, Hicham Attouch, Manuela Guerreiro, Javier R. Perez-Aranda   +3 more
doaj  

Sentiment analysis of restaurant customer satisfaction during COVID-19 pandemic in Pattaya, Thailand. [PDF]

Heliyon, 2023
Pleerux N, Nardkulpat A.
europepmc   +1 more source

Comparative analysis of online photos published by managers and customers about ecolodges in Tambopata: a computer vision and text mining approach

Cogent Social Sciences
This study compares how ecolodges in Tambopata (Peru) are visually represented by customers and managers across two platforms: Instagram and TripAdvisor.
Humberto Turpo, Karen Guillén, Kandappan Balasubramanian, Sandra Zubieta   +3 more
doaj   +1 more source

BERT-based tourism named entity recognition: making use of social media for travel recommendations. [PDF]

PeerJ Comput Sci, 2023
Fudholi DH, Zahra A, Rani S, Huda SN, Paputungan IV, Zukhri Z.   +5 more
europepmc   +1 more source

Análisis de sentimientos de las opiniones textuales asociadas al complejo turístico Las Terrazas

Cooperativismo y Desarrollo
El análisis de sentimiento o minería de opinión, según la literatura, brinda a las empresas la oportunidad de obtener información relevante sobre las reacciones de los clientes en relación con su marca o producto.
Jorge Félix Quintana Cala, Sandro Felipe Acosta Mesa, Emilio Enrique Guerra Castellón, Yasser Vázquez Alfonso   +3 more
doaj  

Unmasking deception: a CNN and adaptive PSO approach to detecting fake online reviews. [PDF]

Soft comput, 2023
Deshai N, Bhaskara Rao B.
europepmc   +1 more source

Speech acts and mitigation 2.0: TripAdvisor

, 2018
Este trabajo, que se enmarca en la perspectiva de estudios de pragmática del turismo digital, se centra en el análisis de las estrategias de atenuación y, concretamente, de los actos expresivos del elogio, el agradecimiento y las disculpas, utilizados como movimientos de apoyo de otros actos de habla principales. Para ello, hemos analizado un corpus de
Hernández Toribio, María Isabel, Mariottini, Laura   +1 more
openaire   +1 more source

Online yorumlara yönetim tarafından verilen cevapların benzerliği: Tripadvisor örneği

, 2022
Gelişen internet teknolojileri sayesinde online alışverişler hem günlük yaşantımızın hem de ekonominin önemli bir parçası haline gelmiştir. Turizm ürünleri ise online olarak satılan ürünler arasında müşteriler tarafından en çok kabul gören ürünlerden biri olmuştur.
TENGİLİMOĞLU, Engin, ŞALVARCI, Simge, GÖRAL, Ramazan, GÜRSOY, Yüksel   +3 more
openaire   +2 more sources

Analyzing the Impact of COVID-19 on Travel and Search Distances for Prominent Landmarks: Insights from Google Trends, X, and Tripadvisor

Geographies
The COVID-19 pandemic profoundly affected people’s travel behavior and travel desires, particularly regarding trips to prominent destinations. This study explores the pandemic’s impact on travel behavior and online search patterns for 12 landmarks across
Jiping Cao, Hartwig H. Hochmair, Andrei Kirilenko, Innocensia Owuor   +3 more
doaj   +1 more source