Implementing sentiment analysis

A common classification task is sentiment analysis. Using sentiment analysis, you can classify text based on its general tone – for example, happy, sad, mad, or neutral. This can be useful in a lot of applications; for example, if you're a restaurant owner and you want to respond quickly to unhappy customer reviews. Let's take a look at how we could do that using the OpenAI API classifications endpoint.

In this example, we will classify restaurant reviews. We'll label the reviews with the labels Good, Poor, or Neutral. We will use the classifications endpoint for this example, and we'll provide some example reviews with the request.

Node.js/JavaScript example

To create the review classifier example in Node.js/JavaScript, follow these steps:

1. Log in to replit.com and open your exploring-gpt3-node REPL.
2. Create a new file – chapter08/reviews-classifier.js.
3. Add the following code...