Texti.ai
  • Overview
  • Task
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Data & Labeling
    • Text Classification
    • Text Generation
    • AI Co-Pilot
  • Fine-tuning
    • Model Selection
    • Hyperparameters
    • Model Fine-tuning
    • Model Evaluation
  • In-Context Learning
    • Model Selection
    • Hyperparameters
    • Evaluation
  • AI Agent
    • Real-Time Feedback-to-Action AI Agent
  • Extras
  • How to Get an OpenAI API Key & Organization ID
  • Automatic Dataset Balancing For Classification Tasks
Powered by GitBook
On this page
  1. Data & Labeling

Text Classification

For text classification tasks, you can upload a dataset with labeled examples of text, where each example is labeled with a specific category. The categories can be anything that you want to classify your text into, such as sentiment (positive, negative, neutral), topics, or any other classification that is relevant to your use case.

Here is an example of what your dataset might look like:

Prompt
Completion

This restaurant has great food and excellent service.

positive

The package arrived late and in poor condition.

negative

I love this movie, it's one of my all-time favorites.

positive

The customer support was unhelpful and rude.

negative

The weather is beautiful today.

neutral

PreviousData & LabelingNextText Generation

Last updated 2 years ago