基于情感分析的酒店顾客满意度评价——以马尔代夫酒店为例

Hauwa’u Uraifa Shehu, A. Kana, Fatima Sulaiman
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摘要

如今,酒店客户的在线评论极大地影响了业务,因为潜在的新消费者在做出酒店预订决策时寻求公正的信息。酒店管理层和营销人员更加意识到在线评论对财务业绩的影响。这种意识源于一个普遍的共识,即互联网消费者评论对酒店的经营业绩有重大影响。顾客使用社交媒体来分享产品和服务的信息,在线评论对顾客的购买决策有很大的影响。本研究的目的是利用词云技术对马尔代夫酒店提供形成性评估反馈。这包括调查最常被客人使用的酒店,找出对酒店的正面和负面评论的百分比,以及评估大多数客户对提供给他们的服务的评论类型。本案例研究利用了来自104家马尔代夫酒店的数据,使用R编程语言的词云方法提供快速的视觉洞察。结果显示,超过80%的评论是积极的,这意味着绝大多数酒店的顾客对他们的住宿和服务感到满意。
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Assessment of Hotel Guest Satisfaction Using Sentiment Analysis: A Case Study of Maldives Hotels
Nowadays online reviews by hotel customers greatly influence business as potential new consumers seek unbiased information while making their hotel booking decisions. Hotel management and marketers are more aware of the impact of online reviews on financial performance. This awareness arises from the universal consensus that internet consumer reviews have a significant impact on hotel business performance. Customers use social media to share information about products and services, and online reviews have a substantial influence on customer purchasing decisions. The goal of this study is to provide formative assessment feedback on Maldives hotels using word cloud technique. This include investigating the hotel that is mostly used by guests, finding out the percentage of positive and negative comments made about the hotel, and also assessing the type of comments the majority of customers give about the services rendered to them. Data from 104 distinct Maldives hotels were utilized in this case study to provide quick visual insight using a word cloud approach with R programming language. The result shows that, more than 80% of the comments are positive, implying that the vast majority of these hotels' customers are pleased with their accommodations and services.
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