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A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism

机译:主要在线评论平台的比较分析:社交媒体分析对酒店和旅游业的启示

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摘要

Online consumer reviews have been studied for various research problems in hospitality and tourism. However, existing studies using review data tend to rely on a single data source and data quality is largely anecdotal. This greatly limits the generalizability and contribution of social media analytics research. Through text analytics this study comparatively examines three major online review platforms, namely TripAdvisor, Expedia, and Yelp, in terms of information quality related to online reviews about the entire hotel population in Manhattan, New York City. The findings show that there are huge discrepancies in the representation of the hotel industry on these platforms. Particularly, online reviews vary considerably in terms of their linguistic characteristics, semantic features, sentiment, rating, usefulness as well as the relationships between these features. This study offers a basis for understanding the methodological challenges and identifies several research directions for social media analytics in hospitality and tourism. (C) 2016 Elsevier Ltd. All rights reserved.
机译:对于酒店和旅游业的各种研究问题,已经对在线消费者评论进行了研究。但是,现有使用评论数据的研究往往依赖于单个数据源,并且数据质量在很大程度上是轶事。这极大地限制了社交媒体分析研究的普遍性和贡献。通过文本分析,本研究从与纽约市曼哈顿整个酒店人群的在线评论相关的信息质量方面比较了三个主要的在线评论平台,分别是TripAdvisor,Expedia和Yelp。调查结果表明,在这些平台上,酒店行业的代表存在巨大差异。特别是,在线评论的语言特征,语义特征,情感,等级,有用性以及这些特征之间的关系在很大程度上有所不同。这项研究为理解方法挑战提供了基础,并确定了酒店和旅游业社交媒体分析的几个研究方向。 (C)2016 Elsevier Ltd.保留所有权利。

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