Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...
Each year millions of Americans take to social media to complain about pollen. Scientists have put all that data to good use.
Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based ...
Two things are clear from a University of Michigan analysis of nearly 200,000 Twitter posts between 2012 and 2022. One, ...
This project is an unofficial Python wrapper for the Twitter API, enabling developers to easily access and retrieve data from Twitter without the need for Cookies or Proxies. Sign up for a free ...
Abstract: The volume of user-generated content that the social media space, particularly that of Reddit, produces is unprecedented, which now can be considered an excellent source of analysis for the ...
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