Car Reviews Dataset for Sentiment and Feature Analysis

Customer reviews for automobiles, likely containing textual feedback and ratings. The dataset was created by user florentgbelidji and last updated on Hugging Face in June 2022. The platform tags suggest it contains between 10,000 and 100,000 rows of data.

Use Cases

• Classify review_sentiment as positive, negative, or neutral based on review_text.
• Analyze correlations between car_model or car_make and average review_rating.
• Extract common topics or features mentioned in review_text using topic modeling.
• Predict review_rating from the textual content of the review using regression models.
• Identify temporal trends in customer satisfaction if a review_date column is present.

Strengths

• Dataset size is estimated between 10,000 and 100,000 rows based on platform tags.
• Contains both structured (tabular) and unstructured (text) data modalities for analysis.

Limitations

• Specific column names, data schema, and exact row count are unknown, limiting immediate usability.
• Data is from 2022 or earlier and may not reflect current vehicle models or market sentiments.
• Geographic coverage is suggested as US-only by a tag, which limits global applicability.

Provenance

Source

Hugging Face user florentgbelidji.

Collection Method

Collection method is unknown; likely scraped from public review websites.

Time Range

null

Freshness

Last updated in June 2022; no update frequency is specified.

Geography

Platform tags indicate a US region focus.