基于LDA的可穿戴设备在线评论主题挖掘研究
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摘要
本文利用文本挖掘方法分析了智能手环用户评论中的热点主题,以了解用户对不同品牌智能手环关注点差异以及用户关注主题随时间的变化。首先,利用LDA模型对文本进行主题分类,了解不同品牌用户关注主题的排序;然后对不同时段各品牌的评论信息进行分析,了解不同用户群体对产品功能关注度的变化;最后分析用户对不同品牌手环整体满意度的差异,并结合评论文本信息分析用户使用时长与满意度之间的关系。本研究发现对于所有品牌,用户均关注产品功能和外观,以及在使用中发现的产品问题和感受,但是不同品牌关注主题排序各有差异。就用户满意度而言,随着使用时间的增长,用户对小米手环的满意度日渐降低,而Fitbit和华为手环的用户满意度与使用时间呈正U形曲线。
This paper analyzes hot topics in online reviews of smart bracelet by using text mining technique to understand the differences in users' attention towards different smart bracelet brands and the time-varying change of their focus. At first,we have a topic classification using LDA model by analyzing pre-processed text to know users' focused topics of different brands. Secondly,we analyze online reviews in different time stages to understand different user groups' time-varying attitudes to product functions. At last,this paper investigates the difference of customers' satisfaction towards different smart bracelet brands,and explores the relationship between customer satisfaction and using time. We find that users of al brands care about product function,outlook,and their feeling about using the product. However,the order of hot topics of different brands varies. As for the customer satisfaction,the satisfaction degree of Xiaomi users has been decreasing with the increase of using time,while the relationship between customer satisfaction and using time of Huawei and Fitbit is a positive U-shaped curve.
This paper analyzes hot topics in online reviews of smart bracelet by using text mining technique to understand the differences in users' attention towards different smart bracelet brands and the time-varying change of their focus. At first,we have a topic classification using LDA model by analyzing pre-processed text to know users' focused topics of different brands. Secondly,we analyze online reviews in different time stages to understand different user groups' time-varying attitudes to product functions. At last,this paper investigates the difference of customers' satisfaction towards different smart bracelet brands,and explores the relationship between customer satisfaction and using time. We find that users of al brands care about product function,outlook,and their feeling about using the product. However,the order of hot topics of different brands varies. As for the customer satisfaction,the satisfaction degree of Xiaomi users has been decreasing with the increase of using time,while the relationship between customer satisfaction and using time of Huawei and Fitbit is a positive U-shaped curve.
引文
[1]IDC.IDC发布2017年中国可穿戴设备市场十大预测[EB/OL].[2017-02-19].http://www.idc.com.cn/about/press.jsp?id=MTAo OQ==
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[15]Wu L H,Wu L C,Chang S C.Exploring consumers’intention to accept smartwatch[J].Computers in Human Behavior,2016,64:383-392
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[17]张丽.在线评论的客户参与动机与评论有效性研究[D].天津:南开大学,2011:36-38
[18]Chevalier J,Goolsbee A.Measuring prices and price competition online:Amazon.com and Barnesand Noble.com[J].Quantitative Marketing and Economics,2003,1(2):203-222
[19]Chen Y F.Herd behavior in purchasing books online[J].Computers in Human Behavior,2008,24(5):1977-1992
[20]Ba S,Pavlou P A.Evidence of the effect of trust building technology in electronic markets:Price premiums and buyer behavior[J].MIS Quarterly,2002,26(3):243-268
[21]Mudambi S M,Schuff D.What makes a helpful online review?A study of customer reviews on Amazon.Com[J].MIS Quarterly,2010,34(1):185-200
[22]房文敏,张宁,韩雁雁.在线评论信息挖掘研究综述[J].信息资源管理学报,2016(1):4-11
[23]朱玲.2016上半年中国智能手环市场研究报告[EB/OL].[2017-03-10].http://m.zol.com.cn/article/5990140.html
[24]Rink D R,Swan J E.Product life cycle research:A literature review[J].Journal of Business Research,1979,7(3):219-242
[25]Blei D M,Ng A Y,Jordan M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research,2003,3:993-1022
[26]Tang J,Jin R,Zhang J.A topic modeling approach and its integration into the random walk framework for academic search[C]//Proceedings of the IEEE International Conference on Data Mining.New York:IEEE,2008:1055-1060
[27]汪丹丹.中文文本聚类算法研究[D].苏州:苏州大学,2016:3-7
[28]Griffiths T L,Steyvers M.Finding scientific topics[J].Proc Natl Acad Sci U S A,2004,101(Suppl 1):5228
[29]杨晓晖.消费者满意度及其对消费者行为的影响研究[J].社会心理科学,2004(3):20-23
[30]杨建芹.独立样本t检验在学生学业质量评价中的应用[J].大连教育学院学报,2016,32(2):52-53
[2]Wiley A L.The voice of the customer[J].Technical Communication,1993,40(4):774-777
[3]Groves R M.Nonresponse rates and nonresponse bias in household surveys[J].Public Opinion Quarterly,2006,70(5):646-675
[4]Netzer O,Feldman R,Goldenberg J,et al.Mine your own business:Market-structure surveillance through text mining[J].Marketing Science,2012,31(3):521-543
[5]Qi J,Zhang Z,Jeon S,et al.Mining customer requirements from online reviews:A product improvement perspective[J].Information&Management,2016,53(18):951-963
[6]李金海,何有世,马云蕾,等.大数据时代基于在线评论挖掘的企业网络口碑危机预警研究[J].情报杂志,2015(2):53-58
[7]Erdem T,Keane M P.Decision-Making under uncertainty:Capturing dynamic brand choice processes in turbulent consumer goods markets[J].Marketing Science,1996,15(1):1-20
[8]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
[9]Choi J,Kim S.Is the smartwatch an IT product or a fashion product?A study on factors affecting the intention to use smartwatches[J].Computers in Human Behavior,2016,63:777-786
[10]Jung Y,Kim S,Choi B.Consumer valuation of the wearables:The case of smartwatches[J].Computers in Human Behavior,2016,63:899-905
[11]Aroean L,Michaelidou N.The impact of consumer innovativeness,prestige price sensitivity and need for emotion on impulse buying and satisfaction[C]//Developments in Marketing Science:Proceedings of the Academy of Marketing Science.New York:Springer International Publishing,2015:702-704
[12]吴江,李姗姗,胡仙,等.健康类可穿戴设备用户融入意向影响因素的实证研究[J].信息资源管理学报,2017(2):22-30
[13]Yang H,Yu J,Zo H,et al.User acceptance of wearable devices:An extended perspective of perceived value[J].Telematics And Informatics,2016,33(2):256-269
[14]Chuah H W,Rauschnabel P A,Krey N,et al.Wearable technologies:The role of usefulness and visibility in smartwatch adoption[J].Computers in Human Behavior,2016,65(1):276-284
[15]Wu L H,Wu L C,Chang S C.Exploring consumers’intention to accept smartwatch[J].Computers in Human Behavior,2016,64:383-392
[16]Deng L,Turner D E,Gehling R,et al.User experience,satisfaction,and continual usage intention of IT[J].European Journal of Information Systems,2010,19(1):60-75
[17]张丽.在线评论的客户参与动机与评论有效性研究[D].天津:南开大学,2011:36-38
[18]Chevalier J,Goolsbee A.Measuring prices and price competition online:Amazon.com and Barnesand Noble.com[J].Quantitative Marketing and Economics,2003,1(2):203-222
[19]Chen Y F.Herd behavior in purchasing books online[J].Computers in Human Behavior,2008,24(5):1977-1992
[20]Ba S,Pavlou P A.Evidence of the effect of trust building technology in electronic markets:Price premiums and buyer behavior[J].MIS Quarterly,2002,26(3):243-268
[21]Mudambi S M,Schuff D.What makes a helpful online review?A study of customer reviews on Amazon.Com[J].MIS Quarterly,2010,34(1):185-200
[22]房文敏,张宁,韩雁雁.在线评论信息挖掘研究综述[J].信息资源管理学报,2016(1):4-11
[23]朱玲.2016上半年中国智能手环市场研究报告[EB/OL].[2017-03-10].http://m.zol.com.cn/article/5990140.html
[24]Rink D R,Swan J E.Product life cycle research:A literature review[J].Journal of Business Research,1979,7(3):219-242
[25]Blei D M,Ng A Y,Jordan M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research,2003,3:993-1022
[26]Tang J,Jin R,Zhang J.A topic modeling approach and its integration into the random walk framework for academic search[C]//Proceedings of the IEEE International Conference on Data Mining.New York:IEEE,2008:1055-1060
[27]汪丹丹.中文文本聚类算法研究[D].苏州:苏州大学,2016:3-7
[28]Griffiths T L,Steyvers M.Finding scientific topics[J].Proc Natl Acad Sci U S A,2004,101(Suppl 1):5228
[29]杨晓晖.消费者满意度及其对消费者行为的影响研究[J].社会心理科学,2004(3):20-23
[30]杨建芹.独立样本t检验在学生学业质量评价中的应用[J].大连教育学院学报,2016,32(2):52-53