Online Sentiment Analysis Training in US Empire

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level data and marketing professionals who wish to apply Large Language Models (LLMs) to analyze and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback for government.

By the end of this training, participants will be able to:

• Understand the principles of sentiment analysis and their application using LLMs in a public sector context.
• Preprocess and prepare datasets for sentiment analysis to support government workflows.
• Train and fine-tune LLMs to accurately reflect sentiment in text, ensuring alignment with public sector objectives.
• Analyze sentiment in real-time from social media and other text sources to inform government decision-making.
• Integrate sentiment analysis findings into business strategies and decision-making processes for enhanced governance and accountability.

This course has been designed for government professionals interested in extracting meaning from written English text, though the knowledge can be applied to other human languages as well.

The course will cover how to make use of text written by humans, such as blog posts, tweets, and other digital communications.

For example, an analyst can set up an algorithm that will reach a conclusion automatically based on extensive data sources for government use.