Applying the topic model to hotel reviews of internet sites and analyzing their results
Applying the topic model to hotel reviews of internet sites and analyzing their results
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将主题模型应用于互联网网站的酒店评论并分析其结果
DOI：
10.37020/jgtr.6.1_15
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Nozomi Oomiya
中科院分区：
文献类型：
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作者：
Yoshiki Nakamura;Nozomi Oomiya
许多人通过互联网预订和购买旅游产品。旅行者参考它们来获得有关特定地点、他们将在那里度过的时间等更准确的信息。本文以“A”这样的全球旅游网站为中心，选取了 16 家酒店，分为两种方式：一种是从豪华到朴素，另一种是根据地理位置，从东京市中心到当地地区。这些酒店分为四个象限，A 站的数据是根据 19,224 条评论收集的。每个数据点都由每个贡献者的评论文本、评估分数以及评论发布日期组成。数据点用于分析三件事：（1）从评论中提取的单词，根据主题模型进行分组，以提取有关酒店的特征； （2）各地区酒店排名、话题、出现词； (3) 主题和评估之间的关系，对其进行量化以考虑未来的指南和服务。通过这些分析，我们讨论了酒店评价与其基于区域和酒店排名的评论之间的关系。
Many people reserve and purchase travel products via internet. Travelers refer to them to gain more accurate information about specific places, the amount of time they will spend there, and so on. This paper focuses on such worldwide travel site, “A,” and selects 16 hotels, which span two approaches: one from luxurious to modest, and the other, on the basis of geography, from Central Tokyo to local areas. These hotels are classified into four quadrants, and data from site A is collected on the basis of 19,224 reviews. Each data point is composed of each contributor’s review text, assessment scores, and the date on which the review was published. Data points are used to analyze three things: (1) Words extracted from reviews, which are grouped according to a topic model to extract characteristics about a hotel; (2) Hotel rankings, topics, and appearance words per region; and (3) the relationships between topics and evaluations, which are quantified to consider future guidelines and services. Through these analyses, we discuss the relationship between the evaluation of a hotel and its reviews on the basis of regions and hotel rankings.