How to Do Sentiment Analysis With Large Language Models [Video]

Data ScienceHow-To’s

Sentiment analysis is a powerful tool for understanding emotions in text. While there are many ways to approach sentiment analysis, including more traditional lexicon-based and machine learning approaches, today we’ll be focusing on one of the most cutting-edge ways of working with text – large language models (LLMs). We’ll explain how you can use these powerful models to predict the sentiment expressed in a text.

As a practical tutorial, this post will introduce you to the types of LLMs most suited for sentiment analysis tasks and then show you how to choose the right model for your specific task.

We’ll cover using models that other people have fine-tuned for sentiment analysis and how to fine-tune one yourself. We’ll also look at some of the powerful tools and resources available that can help you work with these models easily, while demystifying what can feel like an overly complex and overwhelming topic.

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