Journal of Information Resources Management ›› 2017, Vol. 7 ›› Issue (3): 24-33.doi: 10.13365/j.jirm.2017.03.024

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The Study of Topic Mining on Online Reviews of Wearable Devices Based on LDA Model

Wu Jiang Zhou Lusha Liu Guanjun He Chaocheng   

  • Received:2017-03-16 Online:2017-07-26 Published:2017-07-26


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 all 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.

Key words: Smart bracelet,  Wearable devices,  LDA,  Customer satisfaction,  Online review,  Topic mining

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