Classification
Explore how to classify text using OpenAI's completions endpoint with Python. Learn to design prompts for sentiment analysis and label multiple tweets effectively. Understand the impact of temperature and top_p on model responses and apply classification to practical NLP tasks like sentiment detection.
Overview
Classification is the process of categorizing the data into groups. In this lesson, we’ll focus on the text classification problem. There are many applications of text classification, including sentiment analysis, natural language inference (NLI), and grammatical verification. We’ll use the chat completions endpoint of OpenAI to classify the text data, which can be used to label any text without fine-tuning the model. To classify the text, we provide the task description and some optional examples with labels.
We input the prompt text and request parameters into the OpenAI API’s model to classify text.
Single tweet classifier
The input parameters are the same as we saw in the previous lesson. Let’s see how to ...