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Keywords: 深度学习
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Journal Articles
A deep learning approach to understanding spatial cues in hotel YouTube videos based on cue utilization theory
Available to Purchase
Journal of Hospitality and Tourism Technology 1–23.
Published: 23 June 2026
... 10 05 2026 © 2026 Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Video analytics YouTube eWOM Deep learning Cue utilization theory 视频分析 YouTube 电子口碑 深度学习 线索利用理论 YouTube has emerged as a dominant marketing channel across...
Journal Articles
From review filtering to topic modeling: a deep learning-based approach for analyzing negative online reviews of five-star hotels
Available to Purchase
Journal of Hospitality and Tourism Technology 1–25.
Published: 17 December 2025
... reviews Five-star hotels BERTopic 五星级酒店 负面在线评论 BERTopic 深度学习 主题建模 Postgraduate Research and Practice Innovation Program of Jiangsu Province SJCX24_0625 This work was supported by Postgraduate Research and Practice Innovation Program of Jiangsu Province [SJCX24_0625]. The authors...
Journal Articles
A novel deep learning method to use feature complementarity for review helpfulness prediction
Available to Purchase
Journal of Hospitality and Tourism Technology (2024) 15 (4): 534–550.
Published: 07 May 2024
... in the restaurant context. In addition, an advanced feature-fusion method was adopted to better use the extracted feature information and identify the complementarity between features. 种利用特征互补性进行评论有用性预测的新型深度学习方法 研究目的 大多数先前预测评论有用性的研究忽视了嵌入在评论文本中的深层特征的重要性, 而主要依赖手工制作的特征。手工制作和深层特征具有高解释性和预测准确性的优势。本研究提出了一种新颖的评论有用性预测...
Journal Articles
Journal of Hospitality and Tourism Technology (2022) 13 (5): 907–921.
Published: 19 August 2022
... and aspects. 使用社交媒体数据发现旅游目的地：基于 bert 的情感分析。 研究目的 这项工作的主要目的是使用情感分析技术和来自 Twitter 和 Instagram 的数据来分析旅游目的地, 以便找到最具代表性的实体（或地点）和用户的感知（或方面）。 研究设计/方法/途径 我们使用 90,725 个 Instagram 帖子和 235,755 个 Twitter 推文来分析格拉纳达（西班牙）的旅游业, 以确定旅行者在两个社交媒体网站上提到的重要地点和看法。我们使用了几种方法对英语和西班牙语文本进行情感分类, 包括深度学习模型。 研究发现 测试集中的最佳结果是使用来自...
