--- 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) England NHS GP Reviews (2022 - 2024) Scrapped from https://www.nhs.uk/service-search/find-a-gp ## Dataset Details ### Dataset Description 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] ## Uses The dataset is intended for use with BERTopic for topic analysis. ### Direct Use NLP ML + Deep Learining Projects ## Dataset Structure - 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 Traininig a model to classify medical reviews. ### Source Data https://www.nhs.uk/service-search/find-a-gp #### Data Collection and Processing Web Scrapping using BeautifulSoup. Duplicates has been removed and NAN dropped. #### Personal and Sensitive Information Reviews are anonymise with not patient identifyable information captured. ## Dataset Card Authors [optional] Jan du Plessis ## Dataset Card Contact drjanduplessis@icloud.com