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Trustpilot EGYPTAIR Feedback
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
The dataset offers authentic customer reviews for EGYPTAIR, sourced from Trustpilot, an established platform for business reviews worldwide. It provides valuable insights into passenger experiences, including details on baggage handling, flight delays, cabin service, food quality, and overall satisfaction or dissatisfaction with the airline. This data is helpful for understanding customer sentiment and identifying key areas for service enhancement.
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Columns
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index: A unique numerical identifier for each review.
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reviews: The full text content of the customer's review.
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Distribution
This dataset comprises 219 individual text reviews. It is structured with two columns: an index and the corresponding review text. The typical file format for such data is CSV.
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Usage
This dataset is well-suited for data science and analytics projects. Ideal applications include:
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Performing sentiment analysis on customer feedback to gauge public opinion.
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Identifying common service issues and recurring themes within airline operations.
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Driving improvements in customer satisfaction through targeted service adjustments.
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Conducting exploratory data analysis and text mining to uncover hidden patterns.
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Developing Natural Language Processing (NLP) models for review classification or topic extraction.
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Coverage
The reviews relate to EGYPTAIR services globally, reflecting passenger experiences from various international routes. While the dataset does not specify a precise time range for the reviews, the Trustpilot platform has been active in collecting reviews since 2007. The data captures a broad spectrum of customer feedback concerning the airline.
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License
CC0
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Who Can Use It
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Data scientists and analysts: For conducting text analysis, sentiment analysis, and statistical modelling.
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Aviation industry professionals: Including airline management, customer service departments, and quality assurance teams aiming to enhance passenger experiences.
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Market researchers: To assess consumer perception of EGYPTAIR and trends within the broader airline industry.
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NLP researchers and developers: For training and evaluating language models focused on customer feedback and service interactions.
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Students and academics: For research and educational purposes in fields such as text analytics, consumer behaviour, or service quality.
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Dataset Name Suggestions
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EGYPTAIR Customer Reviews
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Trustpilot EGYPTAIR Feedback
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Airline Passenger Experiences Data
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EgyptAir Service Insights
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Attributes
Original Data Source: EGYPTAIR Reviews Trustpilot Code Download
QUALITY