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README.md

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 license: other
 license_name: open-government-license
 license_link: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
+language:
+- en
+tags:
+- reviews
+- medical
+- gp
+- nhs
+pretty_name: England NHS GP Reviews (2022 - 2024)
 ---
+# England NHS GP Reviews (2022 - 2024)
+
+<!-- Provide a quick summary of the dataset. -->
+
+England NHS GP Reviews (2022 - 2024) Scrapped from https://www.nhs.uk/service-search/find-a-gp
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+England NHS GP Reviews (2022-2024) Scraped from https://www.nhs.uk/service-search/find-a-gp
+
+This dataset contains reviews of GP surgeries across England scraped from the NHS website. Each GP surgery is identified by an ODS code and surgery name. The scraped data includes the first 7 pages of reviews for each surgery, capturing the following attributes:
+
+- Surgery ODE Code
+- Surgery name
+- Scrape URL
+- Review Title
+- Star Rating (1-5)
+- Review Comment Text
+- Date of Review (Month and Year)
+
+In total the dataset covers GP surgery reviews posted between 2022-2024. Over 61,000 individual reviews have been gathered providing insight into patient experiences with GP surgeries relating to aspects like appointments, staff, facilities and overall service.
+
+The data is intended to enable further analysis into the quality of GP surgeries based on patient reviews submitted to the official NHS platforms. It can facilitate identification of review trends and top performing GP surgeries based on review metrics like average ratings and most frequent positive/negative review topics.
+
+The reviews have been gathered through web scraping the NHS public websites, but are not officially endorsed NHS data products. The provided reviews should be considered assertions by individual anonymous patients regarding their experience with the listed GP surgery. Personal information has been removed during the scraping process to protect patient privacy.
+
+- **Curated by:** Jan du Plessis
+- **Language(s) (NLP):** English
+- **License:** UK open-government-license
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+The dataset is intended for use with BERTopic for topic analysis.
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+NLP ML + Deep Learining Projects 
+
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+- Surgery ODE Code
+- Surgery name
+- Scrape URL
+- Review Title
+- Star Rating (1-5)
+- Review Comment Text
+- Date of Review (Month and Year)
+
+## Dataset Creation
+
+### Curation Rationale
+
+<!-- Motivation for the creation of this dataset. -->
+Traininig a model to classify medical reviews.
+
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+https://www.nhs.uk/service-search/find-a-gp
+
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+Web Scrapping using BeautifulSoup.
+Duplicates has been removed and NAN dropped.
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+Reviews are anonymise with not patient identifyable information captured.
+
+
+
+## Dataset Card Authors [optional]
+Jan du Plessis
+
+## Dataset Card Contact
+drjanduplessis@icloud.com