Python for Web Scraping - Digital Health

N8 CIR

A short beginner/intermediate workshop introducing Python for web-scraping in digital health research

Social media platforms such as Twitter have recently become sources of most up-to-date information and commentary on current and significant events taking place in people’s lives and during various natural disasters.They can be seen as a collector of real-time information that could be used by public health institutions as an additional information source for acquiring early warnings - thereby assisting them to mitigate the public health threats.This workshop starts with an overview of using social media data for healthcare applications and an introduction to Python. It then covers Twitter data collection using the Twitter Developer API, data pre-processing and machine learning methods to process the collected data.Finally, we introduce a powerful tool called topic modelling for digital healthcare research and show some use cases on how it can be applied to solve real-world problems.The session is intended for beginner or intermediate Python users, only a small amount of knowledge of Python will be required to join the session.This event is only open to those working or studying at one of the N8 Research Partnership universities. Please only register for a place if you work or study at one of these institutions.

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Python for Web Scraping - Digital Health

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