What question did this study set out to answer?

This study aims to analyze user concerns and sentiment evolution regarding new energy vehicles by examining owner reviews.

Research on New Energy Vehicle User Concern Analysis and Sentiment Evolution Based on Text Mining: A Case Study of Top 20 Best-selling Models

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Randomized trial analyzes sentiments from 10,981 user reviews of top-selling new energy vehicles, suggesting industry improvements.

This study aims to analyze user concerns and sentiment evolution regarding new energy vehicles by examining owner reviews.
Conducted text mining on 10,981 owner reviews from the Dongchedi platform.
Utilized TF-IDF and co-word networks to extract core features.
Employed the LDA model to identify five major themes related to vehicle evaluation and user experience.
High satisfaction observed with cabin comfort and overall vehicle performance.
Significant negative sentiments related to range anxiety, with a high polarization effect noted.
Research results identify technical and service shortcomings, aiding industry optimization.

Runjia et al. (2026) studied this question.

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