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Research On New Energy Vehicle Market Based On Text Mining

Posted on:2021-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:Z J FengFull Text:PDF
GTID:2392330620963699Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet technology,user online reviews have become one of the important criteria for measuring the value of goods.However,a large amount of text information is uneven.How to efficiently extract the required information resources from mass text is the focus of this paper.Compared to everyday products,new energy vehicles are high in price and low in frequency of purchase,and consumers have fewer online reviews.However,it is because of its uniqueness that consumers are more willing to publish the actual use experience on the Internet.The "Thirteenth Five-Year Plan" clearly defines the strategic position of new energy vehicles.New energy vehicles will definitely become the guide and target for the development of the future automotive industry.Therefore,it is important to grasp the focus of consumers’ attention on new energy vehicles and provide targeted services to auto companies.The suggestion has important application significance for automobile enterprises.Based on relevant theories and research results of scholars at home and abroad,this paper applies text mining technology to commercial fields such as the new energy vehicle market.Through online reviews from consumers,users are used to mine the overall emotional tendency of users and further analyze the user’s attitude towards different types of cars.The focus of the car,the main research results obtained are as follows:1.In today’s situation of information overload,use web crawler technology to accurately and effectively crawl user reviews of new energy vehicles,and obtain useful textual information through data screening,Chinese word segmentation,etc.2.Construct the sentiment dictionary for the new energy automobile field,and use the sentiment classification algorithm to classify users’ non-standardized comments on Weibo into positive,neutral,and negative evaluations,and grasp the user ’s emotional tendencies and main concerns as a whole.3.According to consumers ’car purchase needs,first of all,determine the focus of consumers’ attention on different types of cars based on the positive evaluation ratios of new energy vehicles in various dimensions,and draw a conclusion that is more consistent with reality.Buying cars for potential consumers has reference value.Then use LDA theme model to explain the conclusion,which is of great significance for auto companies to adjust their strategic deployment.Finally,we point out possible deficiencies in the research and further issues to consider.
Keywords/Search Tags:User reviews, New energy vehicles, Text mining, Sentiment analysis, Topic model
PDF Full Text Request
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