Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting-Reference-Cited by-同舟云学术

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Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting

Published:2024-07 Issue: Volume:120 Page:103750
ISSN:0278-4319
Container-title:International Journal of Hospitality Management
language:en
Short-container-title:International Journal of Hospitality Management

Author:

Wu Doris Chenguang,Zhong Shiteng,Song Haiyan,Wu Ji

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference96 articles.

1. Deep learning-based sentiment classification of evaluative text based on multi-feature fusion;Abdi;Inf. Process. Manag.,2019

2. Sentiment analysis using deep learning techniques: a review;Ain;Int. J. Adv. Comput. Sci. Appl.,2017

3. Regression models with mixed sampling frequencies;Andreou;J. Econ.,2010

4. Big data in hotel revenue management: exploring cancellation drivers to gain insights into booking cancellation behavior;Antonio;Cornell Hosp. Q.,2019

5. Is all that talk just noise? The information content of internet stock message boards;Antweiler;J. Financ.,2004

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hotel demand forecasting with multi-scale spatiotemporal features;International Journal of Hospitality Management;2024-10

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