In recent years,after fierce competition in the domestic smart phone market,Huawei,Xiaomi,OPPO,and VIVO have been vying for the hegemony.In the face of the rapid changes in the market environment,various brands need to continuously improve their products and services to expand their market share.From the perspective of online consumer reviews,this paper adopts a combination of text data mining and statistical analysis to study consumer smartphone network reviews in China,trying to help manufacturers to extract useful business information from consumer reviews.This article collected 203,760 reviews of 60 models of smartphones from Huawei,OPPO,VIVO,Xiaomi in Jingdong Mall and Tmall Mall.After pre-processing the original data,159,063 valid comments were obtained.A sample data set for consumer commentary research.The main conclusions of this paper are: First,the words “mobile phone”,“good”,“like”,“satisfactory”,“feeling”,“price/performance ratio”,“very fast” and “fluent” appear in the comments.High,consumers are most concerned about the "experience","appearance","battery" and "national goods" of mobile phones.Second,nearly 80% of consumers have a positive attitude towards smartphones;consumers have the highest overall satisfaction with Huawei,the highest average emotional value,and the lowest overall satisfaction with OPPO;the highest percentage of positive comments for medium-priced mobile phones The average emotional value of the mobile phone at the price level is the highest,and the emotional attitude of consumers to different brands and price phones is significantly different.Third,negative comment consumers are particularly concerned about mobile phone after-sales,battery,unlocking,etc.The emotional scores of different brands are significantly different,and the price points are not significantly different.According to the conclusion of the study and combined with the actual suggests that mobile phone manufacturers can increase their independent research and development efforts,speed up the resolution of battery life barriers,promote the performance of new technologies,accelerate the introduction of AI technology,and strengthen after-sales service guarantees to improve products and services. |