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Aviation Customer Sentiment Dataset
Marine & Aquatic Data
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains customer reviews for British Airways, derived from webscraping efforts. It has been generated to facilitate work with sentence embeddings and vector databases, making it highly suitable for various Natural Language Processing (NLP) applications. The data focuses on customer pain-points, offering valuable insights for sentiment analysis and general analytics.
Columns
- ID: A unique identifier for each review. There are 1399 distinct identifiers in the dataset.
- title: The header or title of the customer review. This column contains 1278 distinct values.
- reviews: The main text body of the customer review. An example entry includes feedback regarding the "unprofessional attitude of the pilots" on flight BA 246 from 21st January 2023.
Distribution
The dataset comprises approximately 1399 individual customer review records. While specific file format details are not detailed, it is structured with distinct identifiers and associated review titles and text bodies. Future iterations may include additional features such as itinerary details, layover information, and journey or review dates.
Usage
This dataset is an ideal resource for a range of NLP tasks, including:
- Text Classification: Categorising reviews based on their content.
- Sentiment Analysis: Determining the emotional tone or overall sentiment expressed in customer feedback.
- Named Entity Recognition (NER): Identifying and classifying key entities within the review text, such as flight numbers or dates.
- Topic Modelling: Discovering underlying themes or topics prevalent across the customer reviews.
- Semantic Search: Enabling more intuitive and context-aware searching through review content.
- Customer Pain-Point Analysis: Pinpointing specific issues or frustrations experienced by customers.
Coverage
The data primarily covers British Airways customer reviews from 2024, with some examples indicating coverage from 2023. The scope of the reviews is global.
License
CC0
Who Can Use It
This dataset is particularly beneficial for:
- NLP Researchers and Practitioners: For developing and testing models related to text analysis, sentiment, and entity recognition in an aviation context.
- Data Scientists: To perform analytics and extract patterns from customer feedback.
- Marketing and Customer Experience Analysts: To understand customer sentiment, identify service deficiencies, and improve overall customer satisfaction for airline services.
Dataset Name Suggestions
- British Airways Customer Feedback Dataset
- BA Airline Review Data for NLP
- Aviation Customer Sentiment Dataset
- British Airways Service Reviews
Attributes
Original Data Source: British Airways customer reviews, 2024
QUALITY