Uber Eats France App Reviews for Sentiment Analysis

Customer reviews from the Uber Eats France app on the Google Play Store, cleaned and anonymized for natural language processing tasks. The dataset is intended for sentiment analysis and text-based modeling. The original creator, collection method, and specific volume are not provided.

Use Cases

• Classify review sentiment polarity using the cleaned review text.
• Analyze common topics or complaints in French-language app reviews.
• Train a text classifier to predict review ratings based on the anonymized review content.
• Perform comparative sentiment analysis on food delivery services using review text features.

Strengths

• Data is pre-cleaned and anonymized, reducing initial preprocessing effort.
• Focus on a specific service (Uber Eats) and geography (France) provides a coherent domain.

Limitations

• The exact number of reviews (rows) is unknown, making it difficult to assess statistical power.
• Lack of column details prevents understanding of available features like rating, date, or metadata.
• Potential bias as data is sourced only from the Google Play Store, excluding iOS and web users.

Provenance

Source

Google Play Store reviews for the Uber Eats France application.

Collection Method

Collected and cleaned from the app store, then anonymized.

Geography

France