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Asia Food Delivery Sentiment Analysis Data
Product Reviews & Feedback
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About
Records captured from the Google Store provide a window into the consumer sentiment surrounding the Foodpanda application, a prominent online food and grocery delivery platform in Asia owned by Delivery Hero. These reviews, gathered through the RAPIDAPI service, serve as a significant resource for understanding the evolution of user experience and the platform's performance across its 11 active markets. Headquartered in Singapore, the brand stands as the largest food and grocery delivery platform in Asia outside of China.
Columns
- index: A unique numerical identifier for each specific record in the collection.
- review_text: The textual content provided by the user, documenting their specific feedback or experience.
- review_rating: A quantitative score ranging from 1 to 5, indicating the level of user satisfaction.
- author_id: A unique code assigned to the individual reviewer.
- author_name: The name associated with the reviewer's profile, frequently appearing as "A Google user".
- author_app_version: The specific build or version of the application that the customer was using at the time of their feedback.
- review_datetime_utc: The precise date and time the review was posted, recorded in Coordinated Universal Time.
- review_likes: The total count of likes or helpfulness votes received by the review from other community members.
Distribution
The material is provided in a tabular CSV format titled
FOODPANDA_REVIEWS.csv, with a file size of approximately 79.21 MB. It contains 548,000 individual records across 8 distinct columns. Data integrity is high, with most fields showing 100% validity, although the application version field contains approximately 18% missing entries. The expected update frequency for this collection is set to never.Usage
Analysts can utilise this data to extract prevailing sentiments and trends within the food delivery sector over several years. It allows for the identification of specific application versions that received the most favourable or critical feedback, aiding in technical audits. Furthermore, topic modelling techniques can be applied to the text to pinpoint recurring issues or operational pain points within the user interface and delivery service.
Coverage
The geographic scope is centred on the Asian market, encompassing 11 different regions where the platform operates. The temporal range spans a decade, starting from November 2013 and concluding in November 2023. Demographic information is tied to users of the Google Store platform who have interacted with the application.
License
CC0: Public Domain
Who Can Use It
Product managers can leverage these insights to guide future app development and feature prioritisation, while marketing researchers can study long-term shifts in public perception. Data scientists specialising in Natural Language Processing may find the large volume of text useful for training sentiment analysis or classification models.
Dataset Name Suggestions
- Foodpanda Asia App Reviews 2013-2023
- Google Store Foodpanda Customer Feedback Corpus
- Asia Food Delivery Sentiment Analysis Data
Attributes
Original Data Source: Asia Food Delivery Sentiment Analysis Data
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