Users'Key Demands Mining Based on Opinion Leaders in Online Band Community
With the rapid development of society and the continuous progress of technology,the pace of people's lives is constantly accel-erating.At the same time,people's demand for products is also rapidly changing.Currently,the online reviews are the important channels through which the users can express their demands.To overcome the problem that the traditional user demand mining method of mining all comments without discriminating takes too long and is difficult to focus on the key needs of users,starting from both the key users and the key demands,a method for users'key demands mining based on the opinion leaders in online brand community is developed to quickly obtain the users'important demands,which can be called KEY-DEMANDS-OL for short.It discovers the users'key demands integrated with KANO model based on the reviews big data of opinion leaders according to the Pareto principle,which also improves the initial improvement rates and the emotional degree.This novel method increased the accuracy of emotional analysis by taking the semantics of degree adverbs into account.In addition,it can integrate the UGC of opinion leaders with the KANO model auto-matically and obtain the users'key demands and the category of the demands.The research showed that comparing to the traditional method that mining all the uses'reviews,the KEY-DEMANDS-OL can obtain the key demands of users quickly and provide auxiliary decision-making support for enterprises to develop product optimization plans.
万方数据
维普
