发布16年酒店评论数据集，支持长期趋势分析
Rakuten Data Release: A Large-Scale and Long-Term Reviews Corpus for Hotel Domain
- 收集2009至2024年729万条酒店评论，含多维度评价信息
- 揭示2019至2024年间用户评价倾向的显著变化趋势
- 适合研究用户行为演化、数据漂移及旅游服务优化
本文发布Rakuten Travel酒店评论大规模语料库。数据集涵盖2009年至2024年共16年的729万条客户评论，每条记录包含评论文本、住宿方回复、匿名用户ID、评论日期、住宿ID、房型计划ID、计划标题、房型类别、房间名称、出行目的、同行人数、六项细分维度评分及总体评分。本文提供语料库统计信息，并通过统计方法分析2019至2024年间数据漂移的关键驱动因素。
原文摘要 · Abstract (English)
This paper presents a large-scale corpus of Rakuten Travel Reviews. Our collection contains 7.29 million customer reviews for 16 years, ranging from 2009 to 2024. Each record in the dataset contains the review text, its response from an accommodation, an anonymized reviewer ID, review date, accommodation ID, plan ID, plan title, room type, room name, purpose, accompanying group, and user ratings from six aspect categories, as well as an overall score. We present statistical information about our corpus and provide insights into factors driving data drift between 2019 and 2024 using statistical approaches.
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