Research On The Brand Diversities Of Smartphone Quality Feedback Concerns

The growth of smartphone market has slowed down after rapid development.With rapid increase of smartphone evaluation on the internet,its users have got a comprehensive understanding of smartphone.Improving the quality of smartphones becomes important among brands competition.Along with development of smartphones,mobile Internet technology has become mature.When smartphones have problems,users can search solutions via the mobile internet at any time.Smartphone users gathered in the network and published user-experience and problem solutions.Then smartphone online brand communities formed on the internet and accumulated a large number of user feedback data.The data is the high quality of source for studying difference between different brands.After having developed for many years,foreign brands have accumulated rich technologies and occupied the high-end market.Domestic brands adopted low-price-strategy to occupy the low-end market.As competition intensifies,in order to improve enterprise competitiveness,domestic brands develop new products to enter the high-end market.Based on data mining method and the theory of web crawler,sourcing from smartphone users’ text data in online brand communities,this paper developed a technical framework as the foundation of research work.This framework consists of processing system developed by python,storage system based on MySQL,word segmentation system based on NLPIR software,data filtration system developed by libsvm tool and Clustering system Based on K-means algorithm.In order to calculate the chi-square of the framework’s result,coding project was developed to sort it out.Finally,the result of chi-square analysis helps to make strategies in high-end market.