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- Title
基于在线评论的集中式长租公寓租客需求研究: 以魔方公寓为例.
- Authors
汤青慧; 魏祥先; 吴明月
- Abstract
An important breakthrough for enterprises to enhance the quality and efficiency of operation lies in the accurate identification and analysis of tenant demand based on online comments. It has positive practical significance for promoting the high-quality development of the long-term rental apartment industry. Taking MoFang Apartment as a case, the web crawler technology is used to acquire the online comment data of centralized long-rent apartment tenants, and the evaluation system for tenant demand dimension is established by using the word clustering method based on TF-IDF, Word2vec and K-Means. The emotion analysis method is used to carry out the quantitative analysis for the satisfaction of each dimension, and the statistics of the comment data is used to calculate the attention of each demand dimension. The relative relationship between tenant demand attention and satisfaction is comprehensively considered by introducing the IPA analysis model. The results found that enterprises should maintain their advantages in housekeeper service attitude, hardscaping environment and apartment location.
- Subjects
ONLINE comments; APARTMENT leasing &; renting; SATISFACTION; LEASE &; rental services; HOUSEKEEPERS; APARTMENTS
- Publication
Journal of Engineering Management / Gongcheng Guanli Xuebao, 2023, Vol 37, Issue 3, p148
- ISSN
1674-8859
- Publication type
Article
- DOI
10.13991/j.cnki.jem.2023.03.026