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/Text Classification and Sentiment Analysis Using OpenAI Models
Text Classification and Sentiment Analysis Using OpenAI Models
Learn how to implement text classification and sentiment analysis using OpenAI models.
General workflow for using OpenAI models
Before proceeding, let's understand the usual procedure, for performing tasks using OpenAI's GPT models. It involves a series of steps:
Let us discuss the above workflow in detail:
Inputting text: Begin by providing the text we wish the GPT model to consider as an input. For example, the text we want to classify will be considered as our input text.
Prompting GPT: Create a prompt or question that instructs GPT models to perform the required task on the given input text. For example, we can ask/prompt something like “Can you categorize the provided input into one of the 3 classes namely fruits, vegetables, unknown: [input text]?”
Generating output: GPT models will generate a response that includes the task being provided in the prompt. In our example, it will perform classification or categorization of the input text based on its understanding of the given prompt.
Evaluation: ...