# Natural language processing (NLP)

<figure><img src="/files/IxREqxuVSJCWwubYDP0I" alt=""><figcaption></figcaption></figure>

## Start with NLP

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>NLP navigation</strong></td><td>Get familiar with all tabs under your NLP menu.</td><td></td><td><a href="/pages/-LLTwJALNl3efcYZn4ZO">/pages/-LLTwJALNl3efcYZn4ZO</a></td><td><a href="/files/N94IzPVXxJNi0GiOd9bm">/files/N94IzPVXxJNi0GiOd9bm</a></td></tr><tr><td><strong>Concepts</strong></td><td>All the basics to get started.</td><td></td><td><a href="/pages/eihtHAjp148YQJKpAijC">/pages/eihtHAjp148YQJKpAijC</a></td><td><a href="/files/YAmnhdzfTj2dOSocB8JB">/files/YAmnhdzfTj2dOSocB8JB</a></td></tr><tr><td><strong>Entities</strong></td><td>Detect precious info in the conversation.</td><td></td><td><a href="/pages/o2r8OqFQjF5BTH9Er3kf">/pages/o2r8OqFQjF5BTH9Er3kf</a></td><td><a href="/files/e0kKAdzKcTgDbzDBpjrV">/files/e0kKAdzKcTgDbzDBpjrV</a></td></tr><tr><td><strong>Best practices</strong></td><td>Tips to make a strong NLP model.</td><td></td><td><a href="/pages/-LYgmWMoq8sBKilOt3_v">/pages/-LYgmWMoq8sBKilOt3_v</a></td><td><a href="/files/skiPsjPoq2r7IHnKpfIB">/files/skiPsjPoq2r7IHnKpfIB</a></td></tr><tr><td><strong>Train your NLP</strong></td><td>Teach your model to recognize new expressions.</td><td></td><td><a href="/pages/cEpgAzTCbHkmw7ih9Hs4">/pages/cEpgAzTCbHkmw7ih9Hs4</a></td><td><a href="/files/kBx3lNbIKdvs4ZDO8OSy">/files/kBx3lNbIKdvs4ZDO8OSy</a></td></tr></tbody></table>

## Go further

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>AI intent booster</strong></td><td>Your best way to make a small bot smarter.</td><td></td><td><a href="/pages/AGizROYdBUk3R4sWEtZJ">/pages/AGizROYdBUk3R4sWEtZJ</a></td><td><a href="/files/7MVVFQjd0AROkoALlNSP">/files/7MVVFQjd0AROkoALlNSP</a></td></tr><tr><td><strong>Context</strong></td><td>To use the same intent in different situations.</td><td></td><td><a href="/pages/-LLTwJAa6dAUSXOPdl1g">/pages/-LLTwJAa6dAUSXOPdl1g</a></td><td><a href="/files/vnL7yHfouw5yHPOiBhqZ">/files/vnL7yHfouw5yHPOiBhqZ</a></td></tr><tr><td><strong>NLP import/export</strong></td><td>To work on your NLP outside of Chatlayer.</td><td></td><td><a href="/pages/-LRlo_PHoomxcDsTBpr0">/pages/-LRlo_PHoomxcDsTBpr0</a></td><td><a href="/files/zvPSiuQmRJFBDySbzUKu">/files/zvPSiuQmRJFBDySbzUKu</a></td></tr><tr><td><strong>Sentiment analysis</strong></td><td>To redirect the conversation based on the user's sentiment.</td><td></td><td><a href="/pages/gnzWJhAXCmXiVe7ajS9Q">/pages/gnzWJhAXCmXiVe7ajS9Q</a></td><td><a href="/files/p3tcdAGo2DrOzNEadYBc">/files/p3tcdAGo2DrOzNEadYBc</a></td></tr></tbody></table>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.chatlayer.ai/nlp/natural-language-processing-nlp.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.