# Sentiment Analysis

This endpoint classifies text into one of several classes. It uses a few examples to create a classifier from a generative model. In the background, it constructs a few-shot classification prompt and uses it classify the `input` texts you pass to it.

Sentiment analysis is a type of classification task that analyzes the tone of a piece of text. It is used in a variety of different ways, or example, on social media comments and customer reviews. It is commonly used to see how people feel about their products or company, but it can also be used to help businesses understand how different trends in the economy may impact their business.

Here we look at an example of analyzing the sentiments of customer feedback about a product into `Positive`, `Negative`, or `Neutral`.

## Set up

### Install the SDK

## 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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