[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86 635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, 86 635 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.
[1] BLAL I, SINGAL M, TEMPLIN J. Airbnb's effect on hotel sales growth[J].International journal of hospitality management, 2018, 73:85-92.
[2] XIE K L, KWOK L. The effects of Airbnb's price positioning on hotel performance[J].International journal of hospitality management, 2017, 67:174-184.
[3] 赵学锋,汤庆,李岳.基于客户评论和语料库的在线酒店信誉维度挖掘[J].图书情报工作, 2012, 56(12):124-129.
[4] CHENG M M, JIN X. What do Airbnb users care about? An analysis of online review comments[J].International journal of hospitality management, 2019, 76:58-70.
[5] 卢长宝,林嗣杰.游客选择在线短租住宿的动机研究[J].经济管理, 2018, 40(12):153-167.
[6] DOGRU T, HANKS L, MODY M, et al. The effects of Airbnb on hotel performance:evidence from cities beyond the United States[J].Tourism management, 2020, 79:104090.
[7] 吴维芳,高宝俊,杨海霞,等.评论文本对酒店满意度的影响:基于情感分析的方法[J].数据分析与知识发现, 2017, 1(3):62-71.
[8] DUAN W, YU Y, CAO Q, et al. Exploring the impact of social media on hotel service performance:a sentimental analysis approach[J].Cornell hospitality quarterly, 2016, 57(3):282-296.
[9] 李慧,王丽婷.基于词项热度的微博热点话题发现研究[J].情报科学, 2018, 36(4):45-50.
[10] 夏火松,李保国,杨培.基于改进K-means聚类的在线新闻评论主题抽取[J].情报学报, 2016, 35(1):55-65.
[11] ISHIKAWA S, ARAKAWA Y, TAGASHIRA S, et al. Hot topic detection in local areas using twitter and wikipedia[C]//ARCS 2012. Prague:IEEE, 2012:1-5.
[12] 唐晓波,邱鑫.面向主题的高质量评论挖掘模型研究[J].现代图书情报技术, 2015(Z1):104-112.
[13] 涂海丽,唐晓波,谢力.基于在线评论的用户需求挖掘模型研究[J].情报学报, 2015, 34(10):1088-1097.
[14] 王洪伟,高松,陆頲.基于LDA和SNA的在线新闻热点识别研究[J].情报学报, 2016, 35(10):1022-1037.
[15] 叶川,马静.多媒体微博评论信息的主题发现算法研究[J].现代图书情报技术, 2015(11):51-59.
[16] 黄微,赵江元,闫璐.网络热点事件话题漂移指数构建与实证研究[J/OL].数据分析与知识发现:1-15.[2020-07-18].http://kns.cnki.net/kcms/detail/10.1478.G2.20200713.1744.012.html.
[17] 冯坤,杨强,常馨怡,等.基于在线评论和随机占优准则的生鲜电商顾客满意度测评[J/OL].中国管理科学:1-12.[2020-07-18].https://doi.org/10.16381/j.cnki.issn1003-207x.2019.2108.
[18] 叶春蕾,邢燕丽.基于LDA和社会网络中心度的研究生个性化检索推荐模型研究[J].图书情报工作, 2015, 59(13):104-110.
[19] TUSSYADIAH I P, ZACH F. Identifying salient attributes of peer-to-peer accommodation experience[J].Journal of travel & tourism marketing, 2017, 34(5):636-652.
[20] 赵常煜,吴亚平,王继民."一带一路"倡议下的Twitter文本主题挖掘和情感分析[J].图书情报工作, 2019, 63(19):119-127
[21] 李煜,刘虹,孙建军.中国图书馆学博士论文研究主题图谱分析[J].图书馆杂志, 2018, 37(6):22-30.
[22] MIKOLOV T, SUTSKEVER I, CHEN K, et al. Distributed representations of words and phrases and their compositionality[C]//Advances in neural information processing systems. Lake Tahoe:Neurips,2013:3111-3119.
[23] 周建,刘炎宝,刘佳佳.情感分析研究的知识结构及热点前沿探析[J].情报学报, 2020, 39(1):111-124.
[24] 刘自强,许海云,岳丽欣,等.基于Chunk-LDAvis的核心技术主题识别方法研究[J].图书情报工作, 2019, 63(9):73-84.
[25] 张泰瑞,陈渝.基于LDA模型因素提取的健康信息用户转移行为研究[J].图书情报工作, 2019, 63(21):66-77.
[26] 张梦,张广宇,叶作亮.在线信息对酒店网上预订的影响研究——基于携程网酒店在线预订数据的分析[J].旅游学刊, 2011, 26(7):79-84.
[27] YAN R, ZHANG K Z K, YU Y. Switching from hotels to peer-to-peer accommodation:an empirical study[J].Information technology & people, 2019, 32(6):1657-1678.
[28] HOU Z, CUI F, MENG Y, et al. Opinion mining from online travel reviews:A comparative analysis of Chinese major OTAs using semantic association analysis[J].Tourism management, 2019, 74:276-289.
[29] ZERVAS G, PROSERPIO D, BYERS J W. The rise of the sharing economy:estimating the impact of Airbnb on the hotel industry[J].Journal of marketing research, 2017, 54(5):687-705.
