Python for Web Scraping - Digital Humanities

N8 CIR

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

Real-time social media data from platforms such as Twitter, Facebook, LinkedIn, as well as query volumes from search engines, are being used to track real-world phenomena across a wide range of topics. Social media data generated based on large groups of users provide the potential ability to observe public opinions and activities in real-time.

This workshop starts with an overview of using social media data to measure the impact of real-life events and an introduction to Python. It then covers Twitter data collection using the Twitter Developer API, data preprocessing and machine learning methods to process the collected data.

Finally, we introduced a powerful tool called topic modelling for digital humanities 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 Humanities

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