In this lecture, we’re diving into a very interesting aspect of NLP: Sentiment Analysis!
Sentiment Analysis is a method used to identify the mood or sentiment of a piece of text, be it positive, negative, or neutral. Sounds cool, right? But how can we make our model understand the sentiment? 🧐
The answer is: by cleverly constructing our prompts, we can make our LLM work as a sentiment analyzer. And the best part? We can ask it to return just the value of the sentiment, nothing else. This can be really helpful when we want to analyze large amounts of text for their sentiment, like user reviews, social media comments, etc..
Returning value makes this super powerful as we can use it as a function anywhere in our scripts.