Uber Customer Reviews Dataset (2024)

Title: Uber Customer Reviews Dataset (2024)
Subtitle: Sentiment Analysis and Insights from 12,000+ Google Play Store Reviews

Dataset Overview

This dataset contains over 12,000 customer reviews of the Uber app collected from the Google Play Store. The reviews provide insights into user experiences, including ratings, feedback on services, and developer responses. The data is cleaned and anonymized to ensure privacy compliance and ethical usage. It serves as a valuable resource for sentiment analysis, natural language processing (NLP), and machine learning applications.

Data Science Applications

1. Sentiment Analysis:

   • Classify reviews as positive, neutral, or negative based on score and content.
   • Identify trends in customer satisfaction over time.

2. Natural Language Processing (NLP):

   • Perform topic modeling to uncover themes in customer feedback.
   • Generate word clouds to visualize frequently used words in reviews.

3. Machine Learning:

   • Train a sentiment classification model using review text as input.
   • Predict customer satisfaction based on textual feedback.

4. Business Insights:

   • Analyze user feedback to identify strengths (e.g., "friendly drivers") and weaknesses (e.g., "long wait times").
   • Compare app performance across different versions (appVersion).

5. Time Series Analysis:

   • Track changes in average scores over time using the at column.
   • Identify seasonal patterns or anomalies in customer feedback.

6. Customer Behavior Analysis:

   • Study the correlation between score and thumbsUpCount to understand review impact.
   • Analyze the effect of developer replies (replyContent) on customer satisfaction.

Column Descriptors

| Column Name | Description

| userName | Anonymized username of the reviewer.
| userImage | URL of the reviewer's profile image (if available).
| content | Text content of the review describing the user's experience.
| score | Numerical rating given by the user (1–5).
| thumbsUpCount | Number of likes received by the review.
| reviewCreatedVersion | App version at the time of review creation (if available).
| at | Timestamp indicating when the review was posted.
| replyContent | Developer's response to the review (if any).
| repliedAt | Timestamp indicating when the developer replied (if any).
| appVersion | App version string associated with the review (if available).

Ethically Mined Data

This dataset was collected in compliance with ethical web scraping practices:

• Data was sourced from publicly available Google Play Store reviews.
• Personally identifiable information (PII) such as email addresses,images or phone numbers has been removed.

Acknowledgements

• Google Play Store: For providing access to publicly available app reviews.
• DALL·E 3: For generating a visually appealing dataset image.