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Tweets: Airbnb from Twitter

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doi.org2025-01-21 收录
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http://doi.org/10.17632/jrxzfgf49g.1
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Sharing a set of 6 geographical regions datasets. Kindly refer to the below article for further explanation. Title of paper: Viewing Airbnb from Twitter: factors associated with users' utilization Abstract: Airbnb is a peer-to-peer accommodation website in the sharing economy. Past studies have examined the factors associated with Airbnb utilization from various platforms, but not exclusively from Twitter. A total of 21,097 tweets was collected in a period of two months, and the tweets were qualitatively analyzed with the help of text analysis tools to verify the discourse of discussion. Literature was reviewed for common factors attracting clients to an Airbnb accommodation. Factors were then qualitatively analyzed and compiled using Wmatrix, and the themes that emerged were: Price and status, social interaction and communication, location, reputation, amenities and a pet-friendly environment. This result provides a deeper insight to Airbnb hosts to strategize and add value to their current market situations. The published paper is at https://dl.acm.org/doi/10.1145/3428757.3429112 Phoey Lee Teh, Yeh Ching Low, and Pei Boon Ooi. 2020. Viewing Airbnb from Twitter: factors associated with users' utilization. In Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS '20). Association for Computing Machinery, New York, NY, USA, 274–281. DOI:https://doi.org/10.1145/3428757.3429112

共享一组包含6个地理区域的数据集。请参阅以下文章以获取更详细的说明。 论文标题:从Twitter视角审视Airbnb:与用户使用相关因素 摘要:Airbnb作为共享经济领域内的点对点住宿网站,其使用相关因素已由过往研究从多个平台进行探讨,但并未局限于Twitter。在两个月的时间内,共收集了21,097条推文,并通过文本分析工具对推文进行定性分析,以验证讨论的论调。通过对文献的回顾,总结了吸引客户入住Airbnb住宿的常见因素。随后,利用Wmatrix对因素进行定性分析和整理,得出的主题包括:价格与地位、社交互动与沟通、地理位置、声誉、设施以及宠物友好型环境。此研究结果为Airbnb房东提供了更深入的洞察,以便他们制定策略并为其当前市场状况增加价值。 已发表论文可在以下链接查看: https://dl.acm.org/doi/10.1145/3428757.3429112 作者:Phoey Lee Teh, Yeh Ching Low, 和 Pei Boon Ooi 2020年。从Twitter视角审视Airbnb:与用户使用相关因素。发表于第22届国际信息集成与基于Web的应用与服务会议(iiWAS '20)。计算机制造协会,纽约,纽约,美国,第274–281页。DOI:https://doi.org/10.1145/3428757.3429112
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