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共享住宿与酒店用户评论文本的跨平台比较研究:基于LDA的主题社会网络和情感分析 被引量:30

A Cross-platform Comparative Study of Reviews on Sharing Accommodation and Hotels Reservation Platform:Combined with LDA-SNA and Sentiment Analysis
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摘要 [目的/意义]共享住宿与酒店预定平台可能同时存在替代性和互补性,但这种替代性和互补性分别体现在哪些产品和服务上当前文献还缺乏探讨,需要进一步开展跨平台的比较研究。[方法/过程]选取携程酒店预定平台和小猪短租平台为实验对象,采集北京市相关房源的86635条用户评论文本,结合LDA模型、主题社会网络和主题情感分析方法对用户文本评论进行跨平台比较分析。[结果/结论]研究发现两大平台用户在评论主题、主题社会网络和主题情感上的异同之处,从微观用户评论角度解释了两大平台在产品和服务上的替代性和互补性。本文结果为平台管理者进行住宿产品和服务的开发和改进提供重要的实践借鉴。 [Purpose/significance]There may be substitutability and complementarity between shared accom­modation and hotel reservation platforms.However,there is still a lack of discussion on which products and services this kind of substitutability and complementarity are embodied in.Therefore,a cross-platform comparative analysis is needed.[Method/process]In this paper,86635 reviews of relevant rental rooms in Beijing were collected from Ctrip.com and Xiaozhu.com.The cross-platform comparative analysis of online reviews is further carried out by inte­grated latent dirichlet allocation(LDA),social network analysis(SNA)and sentiment analysis.[Result/conclu­sion]The study found the similarities and differences of the two platforms’users in the comment theme,social net­work and the emotion of each topic,and further explained the substitutability and complementarity of the two plat­forms in products and services from the perspective of users’online reviews.The results of this paper also provide important practical reference for platform managers to develop and improve accommodation products and services.
作者 池毛毛 潘美钰 王伟军 Chi Maomao;Pan Meiyu;Wang Weijun(School of Information Management,Central China Normal University,Wuhan 430079;E-commerce Research Center of Hubei Province,Central China Normal University,Wuhan 430079;Key Laboratory of Adolescent Cyberpsychology and Behavior,Central China Normal University,Wuhan 430079)
出处 《图书情报工作》 CSSCI 北大核心 2021年第2期107-116,共10页 Library and Information Service
基金 国家自然科学基金青年项目“电商平台演化对平台绩效的影响机理研究:基于复杂适应系统的视角”(项目编号:71801104)研究成果之一。
关键词 跨平台比较 文本主题挖掘 社会网络分析 情感分析 cross-platform comparison text topic mining social network analysis sentiment analysis
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