data-intelligence-for-health-lab/Lpheada-Labelled-Public-HEAlth-DAtaset
LPHEADA is a multicountry and fully Labelled digital Public HEAlth DAtaset of tweets originated in Australia, Canada, UK, or US between November 28th, 2018 to June 19th, 2020. This dataset contains 366,405 crowd-generated labels (three labels per tweet) for 122,135 PASS-related tweets, labelled by 708 unique annotators on Amazon Mechanical Turk.
This project provides a pre-labelled dataset of tweets related to public health topics like physical activity, sedentary behavior, and sleep. Researchers can input Tweet IDs or User IDs from Twitter and retrieve comprehensive tweet data, including text, user information, and location. This dataset is designed for public health researchers, epidemiologists, or social scientists analyzing health trends and behaviors from social media.
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Use this if you are a public health researcher who needs a large, pre-labelled dataset of social media posts to study population-level health behaviors across multiple countries.
Not ideal if you need real-time data or are looking for a dataset focused on private health information or topics outside of general public health surveillance.
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MIT
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Last pushed
Feb 21, 2022
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/data-intelligence-for-health-lab/Lpheada-Labelled-Public-HEAlth-DAtaset"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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