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What do Chinese Airbnb green users focus on? -A study on the emotional characteristics of online reviews based on multi-factor interaction
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논문 기본 정보

Type
Proceeding
Author
Wang, J.Y. (Ocean University of China) Wang, C. (Ocean University of China)
Journal
Korea Intelligent Information Systems Society 한국지능정보시스템학회 학술대회논문집 Proceedings of 2022 ICEC-KIISS Joint Spring Conference
Published
2022.6
Pages
262 - 269 (8page)

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What do Chinese Airbnb green users focus on? -A study on the emotional characteristics of online reviews based on multi-factor interaction
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In the context of the sharing economy, shared accommodation represented by Airbnb has been widely studied. The study obtains the review data of Airbnb green users in three representative cities of Beijing, Shanghai, and Hong Kong from Inside Airbnb. Ten topics of user reviews are extracted through the Latent Dirichlet Allocation model, and an index system including human, geographic, housing, and environment is constructed. This research uses the sentiment dictionary to calculate the sentiment value of green user reviews, then verifies the interaction effect between each element through multiple regression analysis, and on this basis, uses the Analytic Network Process model to measure the weight of each element. The overall emotional characteristics of green users in Airbnb under the influence of multi-factor interaction are obtained by comprehensive calculation of emotional value and element weight. And the spatial characteristic analysis of the emotional characteristics of green users in Airbnb in three places is carried out. The results show that in Airbnb, green users have a more pronounced emotional tendency towards human and geographical factors during consumption, followed by housing factors, and show lower tendencies towards environmental factors. The research provides a new perspective for optimizing the Airbnb scoring system and promoting the coordinated development of shared accommodation subjects.
#Green users #Airbnb #Emotional characteristics #Multi-factor interaction #Online reviews #Latent Dirichlet Allocation model

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Abstract
Introduction
Literature Review and Research Hypothesis
Data, Methods, and Models
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