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French Health Insurance Review Data
Data Science and Analytics
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"No reviews yet"
Free
About
Provides a detailed collection of user feedback regarding mutual health insurance providers operating in France. This dataset is highly valuable for sentiment analysis and understanding customer opinions within the French health finance sector. The data covers a substantial period, allowing for tracking changes in public perception over time.
Columns
- ID: A unique numerical identifier assigned to each individual review entry.
- Insurance Name: Identifies the specific insurance company that is the subject of the user's feedback. Examples include frequently reviewed entities such as Néoliane Santé and Santiane. This column contains 56 unique provider names.
- Comment: The full text of the user's review or feedback. This field contains the unstructured content suitable for natural language processing, with approximately 16 missing values (0%).
- Month: The numeric representation of the month (1 to 12) during which the review was recorded.
- Year: The year the review was logged, spanning from 2008 up to 2020, providing necessary temporal context.
Distribution
The data is provided as a single CSV file, labelled
Comments.csv, with a file size of 4.21 MB. It contains approximately 11,000 distinct user reviews, structured across 5 fields per record. The data displays high validity across all fields.Usage
Ideal for training and testing sentiment analysis models focused on financial and health services language. It can also be leveraged for market research to evaluate specific insurance companies' public reputation or track shifts in public opinion trends across the years included in the coverage range.
Coverage
Geographic coverage is focused entirely on France, drawing from reviews submitted by users of French mutual health insurance services. The temporal scope spans from the year 2008 up to 2020. The dataset contains feedback pertaining to 56 unique insurance providers.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For natural language processing and machine learning projects involving text classification and sentiment scoring.
- Financial Analysts: To benchmark insurance company performance based on user satisfaction metrics derived from unstructured feedback.
- Academic Researchers: Studying evolving public perception and acceptance of health financing and insurance reforms in the French context.
Dataset Name Suggestions
- French Health Insurance Review Data
- France Mutuelle User Feedback 2008-2020
- Health Insurance Sentiment Dataset (France)
- Mutual Insurance Customer Opinions
Attributes
Original Data Source: French Health Insurance Review Data
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