社会交往还是商业交易？什么客户评论透露关于Airbnb市场
Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace
摘要：
Airbnb是共享经济市场最成功的例子之一。随着全球市场的快速渗透，了解其吸引力和不断变化的增长机会是规划业务决策的关键。例如，关于Airbnb是否是一种促进主人和客人之间社会交流的酒店服务，正如共享经济宣言最初所说的那样，或者它是否是（或正在演变成为）一个纯粹的商业交易平台，酒店传统上的运营方式。为了回答这些问题，我们提出了一种新的市场分析方法，利用客户的评论。该方法的关键是一种结合主题分析和机器学习的方法，以归纳方式为客人的评论开发自定义词典。基于这本词典，我们对6个不同城市收集的320万条评论的语料库进行了定量语言分析，并说明了如何在时间，主题，用户和空间粒度的精细级别上回答各种市场研究问题，例如（i）多年来商业与社会二分法如何演变，（ii）这些顶级类别中的确切词汇正在演变，（iii）该等趋势是否因不同用户类别而有所不同;及（iv）在不同的邻近地区。
英文摘要：
Airbnb is one of the most successful examples of sharing economy marketplaces. With rapid and global market penetration, understanding its attractiveness and evolving growth opportunities is key to plan business decision making. There is an ongoing debate, for example, about whether Airbnb is a hospitality service that fosters social exchanges between hosts and guests, as the sharing economy manifesto originally stated, or whether it is (or is evolving into being) a purely business transaction platform, the way hotels have traditionally operated. To answer these questions, we propose a novel market analysis approach that exploits customers' reviews. Key to the approach is a method that combines thematic analysis and machine learning to inductively develop a custom dictionary for guests' reviews. Based on this dictionary, we then use quantitative linguistic analysis on a corpus of 3.2 million reviews collected in 6 different cities, and illustrate how to answer a variety of market research questions, at fine levels of temporal, thematic, user and spatial granularity, such as (i) how the business vs social dichotomy is evolving over the years, (ii) what exact words within such top-level categories are evolving, (iii) whether such trends vary across different user segments and (iv) in different neighbourhoods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
