Which sentiment analysis approach did the US Federal Government first adopt to systematically track public opinion on pandemic policies during COVID-19?

In today's digital age, governments increasingly rely on sentiment analysis to understand public opinion and shape policy decisions. This sophisticated technology helps elected officials and government agencies monitor citizen feedback across social media, news outlets, and official communications channels. How well do you understand how modern governments leverage this powerful tool to stay connected with their constituents? Test your knowledge on the intersection of data analytics and governance.

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Natural Language Processing (NLP) algorithms analyzing social media posts
Supervised machine learning models trained on constituent emails
Topic modeling of news media coverage
Emotion detection AI scanning recorded town hall meetings