EV Charging Station User Sentiment Analysis for Travis County, Texas

More than 4,000 user reviews from Travis County, Texas, were analyzed using three large language models to classify sentiment across categories like charging operation, accessibility, and parking. The dataset contains results from Random Forest regression models showing the influence of walkability, greenery, and amenities on user perception. Authored by Ahyoung Chang and last updated in June 2026, this 9.5 KB Excel file provides a framework for location-sensitive EV infrastructure planning.

Use Cases

• Train sentiment classification models based on EV charging station user reviews.
• Analyze the correlation between built environment features (walkability, greenery) and user sentiment scores.
• Identify spatial clusters of operational or accessibility frustrations for targeted infrastructure improvements.

Strengths

• Dataset is based on more than 4,000 user reviews, providing a substantive text corpus.
• Analysis integrates AI-driven sentiment classification with spatial modeling, offering a multi-faceted approach.
• Results are structured in an Excel (XLS) format, which is widely accessible for analysis.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset's 9.5 KB size suggests it contains summary model results rather than the raw review text.
• Geographic scope is limited to Travis County, Texas, which may affect generalizability.

Provenance

Source

Ahyoung Chang via figshare.

Collection Method

AI-driven sentiment analysis of user reviews integrated with spatial modeling.

Freshness

Last updated 2026-06-02 17:32:10.

Geography

Travis County, Texas, USA.