التفاصيل البيبلوغرافية
| العنوان: |
Sensing hotel customers distribution and their sentiment variations using online travel agent data: a case of Shanghai star-rated hotels. |
| المؤلفون: |
Wu, Yuting, Wang, Jingbo, Xia, Yu, Li, Qiyue, Pan, Yue |
| المصدر: |
Annals of GIS; Sep2024, Vol. 30 Issue 3, p323-343, 21p |
| مصطلحات موضوعية: |
TRAVEL agents, CONSUMERS, HOTELS, MARKETING strategy, DEEP learning, LOYALTY |
| مستخلص: |
Customer numbers and comments have been extensively studied to increase hotel arrivals and loyalty, whereas the specific distribution and sentiment variations have received less attention. This study constructed a data set of hotel customers and the deep learning model was applied to quantify unstructured text, which can mine the distribution and sentiment variation patterns of different star hotel customers. The findings show that customers of different star-rated hotels have different variation patterns of sentiment and distribution. There is a negative correlation between the visit heat and sentiment of some high-star hotels in various administrative regions: regions with lower visit heat have higher sentiment scores. In addition, season and location are important factors that affect customers' sentiments. This study is the first to use a quantitative approach to examine the distribution and sentiment variation patterns of hotel customers. It provides insights into appropriate marketing strategies for the hotel industry and offers practical suggestions to hotel customers. [ABSTRACT FROM AUTHOR] |
|
Copyright of Annals of GIS is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
PDF full text from Publisher 
Full Text Finder