Using Deep Learning and Visual Analytics to Explore Hotel Reviews and Responses

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題名:	Using Deep Learning and Visual Analytics to Explore Hotel Reviews and Responses
作者:	張詠淳 Yung-Chun Chang, Chih-Hao Ku, Chien-Hung Chen
貢獻者:	大數據科技及管理研究所
關鍵詞:	Keywords: Deep learning;Convolutional neural network;Natural language processing;Visual analytics;Hospitality;Tourism
日期:	2020-10
上傳時間:	2025-04-02 19:52:15 (UTC+8)
摘要:	Abstract: This study aims to use computational linguistics, visual analytics, and deep learning techniques to analyze hotel reviews and responses collected on TripAdvisor and to identify response strategies. To this end, we collected and analyzed 113,685 hotel reviews and responses and their semantic and syntactic relations. We are among the first to use visual analytics and deep learning-based natural language processing to empirically identify managerial responses. The empirical results indicate that our proposed multi-feature fusion, convolutional neural network model can make different types of data complement each other, thereby outperforming the comparisons. The visualization results can also be used to improve the performance of the proposed model and provide insights into response strategies, which further shows the theoretical and technical contributions of this study.
關聯:	Tourism Management, Volume 80, 2020, 104129
描述:	【109-1 升等】臺北醫學大學教師升等專門著作職別：專任送審等級：副教授著作送審
資料類型:	article
顯示於類別:	[教師升等送審著作] 109

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