Cope Airlines Reviews Dataset 2025 - SAMPLE

**Overview**

This dataset contains sample version of 100 rows from ~10,000 user-generated reviews of Cope Airlines, collected across multiple languages, primarily Spanish and English, with contributions in additional European and Latin American languages.It provides a structured resource for analyzing customer experiences, satisfaction drivers, and service quality.The dataset is well-suited for natural language processing, customer-experience research, and operational insights.
Reviews are pseudonymous, public, and free from personally identifiable information.Each record combines star ratings, free-text commentary, and optional service subratings with lightweight metadata.This structure enables multilingual sentiment analysis, service benchmarking, and temporal trend tracking without exposing private user data.

**Introduction**

Each row represents one customer review of Cope Airlines, including:
- Overall rating (1–5 stars).
- Review title and full free-text review.
- Optional subratings across up to eight service dimensions.
- Basic pseudonymous profile metadata.
- Language and publication date.

**Column Dictionary**

- **username** (string): Pseudonymous handle of the reviewer.
- **rating** (int): Overall star score (1–5).
- **title** (string): Reviewer-provided headline.
- **text** (string): Free-text review body.
- **helpful_votes** (int): Count of community “helpful” endorsements.
- **lang** (string): Two-letter language code of the review (e.g., es, en).
- **published_date** (date): Publication date (YYYY-MM-DD).
- **subrating_check_in_and_boarding** (float, optional): Subscore for airport check-in and boarding.
- **subrating_cleanliness** (float, optional): Subscore for aircraft/facility cleanliness.
- **subrating_customer_service** (float, optional): Subscore for staff courtesy and service resolution.
- **subrating_food_and_beverage** (float, optional): Subscore for meal and beverage quality.
- **subrating_in_flight_entertainment** (float, optional): Subscore for IFE availability and usability.
- **subrating_legroom** (float, optional): Subscore for seating space and comfort.
- **subrating_value_for_money** (float, optional): Subscore for alignment of price and experience.
- **subratings_seat comfort** (float, optional): Subscore for seat ergonomics and comfort (source label preserved).
- **user_contributions_reviews** (int): Count of total reviews contributed by this user.
- **user_location** (string): Free-text self-reported location of the reviewer.

**Acknowledgements**

Reviews are sourced from public, user-generated platforms and include only pseudonymous information, opinions, and coarse metadata.No personally identifiable information (PII) or login-protected content is present.Research and preparation conducted by Maths with Kanchana LLC.

**Inspiration**

Potential use cases include:
- Voice of Customer Analysis: Multilingual sentiment and topic modeling to compare low- vs. high-star reviews.
- Service Quality Benchmarking: Identifying key drivers of satisfaction using subratings.
- Anomaly Detection: Monitoring for sudden rating declines over time, routes, or aircraft types.
- Pricing Insights: Modeling value-for-money perception against overall ratings.
- Support Operations: Building complaint/toxicity classifiers and summarization tools for customer service teams.