---
title: "Auto Analyze Text"
description: "Automatically analyze text for sentiment, key phrases, and entities to enhance your content searchability and insights. (Gitana 4.0)"
product: "Gitana"
version: "4.0"
url: "/documentation/gitana/4.0/engine/aspects/auto-analyze-text"
---

# Auto Analyze Text

QName: `f:auto-analyze-text`

With this feature in place, a content instance will automatically have its `default` binary attachment analyzed using a Text Analyzer service. The extracted analysis and text will then be applied back onto the node, allowing it to benefit from automatic full-text search indexing and other tooling.

To use this service, you will first need to set up a Text Analysis Service. The service can either be configured as the default Text Analysis Service for your Project or it can be referenced from the `f:auto-analyze-text` feature. This allows different feature configurations to use different services if that is your preference.

The feature is defined as shown here:

```
{
    "_qname": "f:auto-analyze-text",
    "_type": "d:feature",
    "type": "object",
    "title": "Auto Analyze Text",
    "description": "Indicates that a node should have its text automatically analyzed for comprehension",
    "systemBootstrapped": true
}
```

## Configuration

| Property | Type | Default | Read-Only | Description |
| --- | --- | --- | --- | --- |
| serviceId | text |  |  | The \`\_doc\` identifier of the Analyze Text Service configuration to use. |

## Text Analysis

With this feature in place, a text analysis process will launch whenever you create or update the `default` attachment for the node. The text analysis process will analyze your binary content and detect any meaningful content that is comprised of:

- Sentiment of the text
- Key Phrases contained within the text
- Entities detected within the text
- Languages contained in the text

The extracted content is then stored onto your original Node so that you can work with it from a post-processing perspective. In addition, the Cloud CMS user interface makes use of this extracted content to provide your editorial users with in-context insights and awareness of what was extracted.

For more information, please see our formal documentation on [how Cloud CMS works with Text Analysis](/documentation/gitana/4.0/engine/services/text-analysis.md).

## Example

If you have a default Text Analysis Service configured for your project, all you need to do is this:

```
{
    "title": "My Document",
    "_features": {
        "f:auto-analyze-text": {
        }
    }
}
```

Otherwise, you will need to point to a configuration:

```
{
    "title": "My Document",
    "_features": {
        "f:auto-analyze-text": {
            "serviceId": "ec0a7bfb2d2f971b262e"
        }
    }
}
```