基于文本挖掘的新能源轿车用户情感分析

Sentiment Analysis of New Energy Car Users Based on Text Mining

以新能源轿车用户网络评论作为研究对象,运用情感分析、词频统计、语义网络图等文本挖掘方法,挖掘新能源轿车用户情感。结果表明:空间、动力、舒适性是新能源轿车用户情感最主要的影响因素,尤其是空间因素影响最大;用户对新能源轿车动力和外观的情感最为积极,对空间和电耗的情感最为消极;用户负面情感因素主要包括后排空间不够用、充电和续航性能不好等多种因素,用户正面情感因素主要包括车身线条流畅、造型大气时尚、加速快等多种因素。基于研究结果,为新能源轿车销售企业提出若干建议。

Taking the online comments of new energy car users as the research object,this paper uses text mining methods such as sentiment analysis,word frequency statistics and semantic network graph to mine the sentiment of new energy car users.The results show that space,power and comfort are the main influencing factors of users’ sentiment of new energy cars,especially the space factor;users’ sentiment for power and appearance of new energy cars is the most positive,and that for space and electricity consumption is the most negative;users’ negative emotional factors mainly include insufficient rear space,poor charging and endurance performance and other factors,while their positive emotion factors mainly include smooth body lines,grand and fashionable modeling,fast acceleration and other factors. Based on the research results,some suggestions are put forward for the sales enterprises of new energy cars.