Skytrax Emirates Passenger Feedback
Data Science and Analytics
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
This dataset provides 5300 honest text reviews concerning Emirates Airline, sourced from the Skytrax platform [1]. Skytrax is a United Kingdom-based consultancy renowned for its airline and airport review and ranking services [1]. This free dataset is invaluable for data science and analytics, offering insights into customer sentiment and feedback for a major global airline [1, 2]. It is suitable for various analytical tasks, including natural language processing and data visualisation [1].
Columns
The dataset is structured with two key columns [3]:
- review index column: This column serves as a unique identifier for each review [3].
- customers text review column (reviews): This column contains the verbatim text of the customer reviews [3].
Distribution
The dataset comprises 5300 individual text reviews [1]. The indexing ranges from 0.00 to 5299.00 [3, 4]. The data is structured such that it includes 530 labels for every 529.90 increment within the index range, ensuring an even distribution of entries [3, 4].
Usage
This dataset is ideal for a variety of applications in data science and analytics [1]. Key use cases include:
- Natural Language Processing (NLP): Analysing text reviews for sentiment analysis, topic modelling, and keyword extraction [1].
- Data Visualisation: Creating charts and graphs to represent customer satisfaction trends and common feedback themes [1].
- Data Cleaning: Practising data preparation and cleaning techniques on real-world text data [1].
- Travel Industry Analysis: Gaining insights into customer experiences with Emirates Airline for market research or service improvement [1].
Coverage
The dataset offers global coverage of reviews [2]. The reviews specifically pertain to Emirates Airline [1]. The data was listed on 21/06/2025 [2].
License
CC0
Who Can Use It
This dataset is suitable for:
- Data Scientists and Analysts: For developing and testing NLP models, sentiment analysis, and data visualisation projects [1].
- Researchers: Studying customer behaviour and feedback within the airline industry [1].
- Students: Gaining practical experience with real-world customer review data [1].
- Businesses: Understanding customer sentiment and identifying areas for service enhancement in the travel sector [1].
Dataset Name Suggestions
- Emirates Airline Customer Reviews Skytrax
- Skytrax Emirates Passenger Feedback
- Airline Customer Sentiment (Emirates)
- Emirates Travel Review Dataset
Attributes
Original Data Source: American Airline Reviews Skytrax