摘要
利用Python采集京东国际个护产品消费者的在线评论,通过文本特征分析得出“物流”、“效果”、“包装”等是影响进口跨境电商消费者满意度的关键要素。随后利用LDA主题聚类模型,结合困惑度和主题可视化,得到反映进口跨境电商服务质量的4类关键因素,包括物流效率、产品功效、感知价值和产品体验。基于此,提出改善进口跨境电商服务质量的策略。
This article uses Python to collect online comments from JD International's personal care products.Through text feature analysis,it is concluded that"logistics","effectiveness",and"packaging"are key factors that affect consumer satisfaction in imported cross-border e-commerce.Then,by using the LDA theme clustering model,combined with Perplexity and theme visualization,the dimensions of import cross-border e-commerce consumers'main concerns are obtained.The results indicate that the key factors affecting the quality of imported cross-border e-commerce services mainly include four dimensions:Logistics efficiency,product efficacy,price discounts,and product experience.Based on this,propose strategies to improve the quality of imported cross-border e-commerce services.
作者
宋春燕
SONG Chunyan(School of Management,Guizhou University,Guiyang 550000,China)
出处
《物流科技》
2024年第3期55-57,65,共4页
Logistics Sci-Tech
关键词
在线评论
进口跨境电商
服务质量
文本挖掘
online comments
import cross-border e-commerce
service quality
text mining
