Obtaining recommendations from guests is critical for Airbnb hosts to thrive in the peer-to-peer accommodation business. By extracting the dominant aspects of the Airbnb experience and the guests' sentiment ratings in online comments, this study examines the impact of the aspects and sentiment on guest actual recommendations. A novel mixed-method was adopted to analyse the online reviews of Airbnb guests in Los Angeles, USA. The text-mining results reveal that hosts, location, and amenities are the dominant aspects of the guests' Airbnb experience. Results show that the guests' sentiment ratings for hosts and amenities have significant impacts on the guests' recommendations, while location only influences the private-room guests' recommendations. This study contributes to the extant literature by offering an innovative methodological approach to building the link between experience aspects and guest actual recommendations.

获得客人的建议对于Airbnb房东在点对点住宿业务中蓬勃发展至关重要。通过提取在线评论中Airbnb体验的主要方面和客人的情感评价，本研究检查了这些方面和情感对客人实际推荐的影响。我们采用了一种新颖的混合方法来分析美国洛杉矶的Airbnb客人的在线评论。文本挖掘结果表明，房东，位置和便利设施是客人体验Airbnb的主要方面。结果表明，宾客对主人和便利设施的情感评价对宾客的推荐有显着影响，而地理位置仅影响私人房间宾客的推荐。