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Google Play Grab Feedback
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains a collection of user reviews and ratings for the Grab mobile application, extracted from the Google Store [1]. It offers valuable insights into public perception and user feedback regarding Grab's services, which include ride-hailing, food delivery, and digital payments across various Southeast Asian countries [1]. The data can be instrumental for analysing sentiment, identifying trends, and pinpointing user pain points over time [1].
Columns
- index: A numerical index for each review [2].
- review_text: The actual text content of the user review [2].
- review_rating: The rating given by the user, ranging from 1 to 5 stars [2].
- author_id: A unique identifier for the author of the review [2].
- author_name: The name of the review's author, which can include generic names like "A Google user" [2, 3].
- author_app_version: The version of the Grab application at the time the review was submitted [2].
- review_datetime_utc: The date and time (in UTC) when the review was published [2].
- review_likes: The number of likes a particular review received [2].
Distribution
The dataset is typically provided in CSV format [4]. It contains approximately 441,546 records or rows [3]. Specific file size information is not available in the provided materials.
Usage
This dataset is ideal for a variety of analytical tasks, including:
- Extracting sentiments and trends: Understand the overall sentiment of users towards the Grab app and how it changes over time [1].
- Identifying app version performance: Determine which versions of the application received the most positive or negative feedback [1].
- Topic modelling: Discover common themes and pain points mentioned by users in their reviews [1].
- Product improvement: Inform product development and marketing strategies by leveraging user feedback.
- Market research: Gain insights into user experiences in the ride-hailing and food delivery sectors.
Coverage
The dataset covers app reviews from the Google Store, pertaining to Grab's operations globally, specifically in countries like Singapore, Malaysia, Cambodia, Indonesia, Myanmar, the Philippines, Thailand, and Vietnam [1, 5]. The time range of the reviews spans from 31 May 2013 to 9 November 2023 [6]. Demographic scope is not explicitly detailed but represents a broad user base from regions where Grab operates.
License
CCO
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building sentiment analysis models, topic models, or predictive analytics on user feedback.
- Product Managers: To understand user satisfaction, identify feature requests, and prioritise product improvements based on direct feedback.
- Marketing and PR Teams: To monitor brand perception, identify common complaints or praises, and tailor communication strategies.
- Business Analysts: For market research, competitive analysis, and understanding customer behaviour trends.
- Researchers: For academic studies on consumer behaviour, app usage, or natural language processing applications.
Dataset Name Suggestions
- Grab App User Reviews
- Google Play Grab Feedback
- Grab Application Ratings
- Grab Mobility & Delivery Reviews
- Southeast Asia Super-App Reviews
Attributes
Original Data Source: 🛵🥝 Grab App Reviews from Google Store
QUALITY