Research on content analysis and quality evaluation for online reviews of new energy vehicles

IF 2 4区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Development Pub Date : 2024-05-29 DOI:10.1177/02666669241257186

Xiaoguang Wang, Tao Lv, Rongjiang Cai, Xu Deng

{"title":"Research on content analysis and quality evaluation for online reviews of new energy vehicles","authors":"Xiaoguang Wang, Tao Lv, Rongjiang Cai, Xu Deng","doi":"10.1177/02666669241257186","DOIUrl":null,"url":null,"abstract":"The development of China's new energy vehicle industry has been gradually transformed from past policy support to the survival of enterprises determined by the market, which forces the new energy vehicle industry to accelerate towards the market-oriented direction. We collected review data from online automotive forums and generated a corpus after pre-processing. Next, we extracted the statistical and topic semantic features of online reviews for new energy vehicles and clarified the quality evaluation indicators for online reviews. Then, the entropy weight-TOPSIS method was used to determine the indicators’ weights and assign values to the quality of online reviews. Finally, the quality scoring rules of online reviews were sorted out from multidimensional perspectives. The research results have shown that the statistical features and topic semantic features of online reviews on new energy vehicles can be used as evaluation indicators to construct a quality evaluation system. It was also found that the quality scores of lower-priced vehicle reviews tend to be consistent in different price groups, while the quality scores of mid-priced vehicle reviews are the most dispersed. The quality of online reviews varies significantly among other groups or models. The study results provide a simple criterion for consumers’ cognition of the value of online reviews. The results will enhance the ability of new energy vehicle companies to carry out online marketing with the help of online reviews and transform the purchase intention of potential consumers into actual purchase behavior.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Development","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/02666669241257186","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

The development of China's new energy vehicle industry has been gradually transformed from past policy support to the survival of enterprises determined by the market, which forces the new energy vehicle industry to accelerate towards the market-oriented direction. We collected review data from online automotive forums and generated a corpus after pre-processing. Next, we extracted the statistical and topic semantic features of online reviews for new energy vehicles and clarified the quality evaluation indicators for online reviews. Then, the entropy weight-TOPSIS method was used to determine the indicators’ weights and assign values to the quality of online reviews. Finally, the quality scoring rules of online reviews were sorted out from multidimensional perspectives. The research results have shown that the statistical features and topic semantic features of online reviews on new energy vehicles can be used as evaluation indicators to construct a quality evaluation system. It was also found that the quality scores of lower-priced vehicle reviews tend to be consistent in different price groups, while the quality scores of mid-priced vehicle reviews are the most dispersed. The quality of online reviews varies significantly among other groups or models. The study results provide a simple criterion for consumers’ cognition of the value of online reviews. The results will enhance the ability of new energy vehicle companies to carry out online marketing with the help of online reviews and transform the purchase intention of potential consumers into actual purchase behavior.

查看原文本刊更多论文

新能源汽车网络评论内容分析与质量评价研究

中国新能源汽车产业的发展已由过去的政策扶持逐步转变为由市场决定企业的生存，这迫使新能源汽车产业加速向市场化方向发展。我们从在线汽车论坛中收集评论数据，经过预处理后生成语料库。接着，我们提取了新能源汽车在线评论的统计特征和主题语义特征，明确了在线评论的质量评价指标。然后，利用熵权-TOPSIS 方法确定指标权重，并对网络评论质量进行赋值。最后，从多维角度梳理了网络评论质量评分规则。研究结果表明，新能源汽车网络评论的统计特征和主题语义特征可以作为评价指标，构建质量评价体系。研究还发现，在不同价格组别中，低价位汽车评论的质量得分趋于一致，而中价位汽车评论的质量得分最为分散。在其他组别或车型中，在线评论的质量差异很大。研究结果为消费者认知在线评论的价值提供了一个简单的标准。该结果将提升新能源汽车企业借助网络评论开展网络营销的能力，并将潜在消费者的购买意向转化为实际购买行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Information Development INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.10

自引率

5.30%

发文量

期刊介绍： Information Development is a peer-reviewed journal that aims to provide authoritative coverage of current developments in the provision, management and use of information throughout the world, with particular emphasis on the information needs and problems of developing countries. It deals with both the development of information systems, services and skills, and the role of information in personal and national development.