# Text Classification (Classify)

:::callout{intent="note" title="This Guide Uses the Classify Endpoint."}
You can find more information about the endpoint [here](/api).
:::

In this section, we show how to use the [Classify](/api) endpoint to do sentiment classification for the kind of customer satisfaction survey responses an e-commerce website may receive.

<img src="../img/fern/assets/images/bcb4c3c-Text_Classification_Visual_1.png" alt="">
## The Problem We Want to Solve

For this demo, let's assume that we want to classify a set of reviews for a newly-released feature into positive and negative classes. We might for instance have a review like this:

`The item exceeded my expectations`

that we want to classify as a positive review.

Naturally, the same techniques that we'll use for this problem can be used for any other task where we want to classify a given text according to a fixed set of classes.

## Using Classify For Our Task

Classify takes in example inputs with their labels, as well as the input texts we aim to classify. It then trains a classifier using the power of an embeddings model.

You can either do this with our baseline classification model (described in the next few sections), or you can train a custom classification model for better performance (described in the final section).

### Examples

Labeled examples are used to demonstrate the classification task to the model. Examples provide two important pieces of information:

- The inputs and expected outputs for the task we're interested in.
- The number of output classes. Every class should appear in at least one example in the labeled examples.

In this case we will be passing in the following examples:

## Related pages

- [Changelog](../changelog.md)
- [Cohere](../index.md)
- [Cohere API](./cohere-api-index.md)
- [Cohere Labs](./cohere-labs-index.md)
- [Cohere Platform](./cohere-platform-index.md)
- [Cookbooks](./cookbooks-index.md)
- [Deployment Options](./deployment-options-index.md)
- [Embeddings (Vectors, Search, Retrieval)](./embeddings-vectors-search-retrieval-index.md)
- [Get Started](./get-started-index.md)
- [Going to Production](./going-to-production-index.md)

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