# Word Cloud

> Word Cloud - Word Cloud displays the most relevant words and short phrases in word cloud format.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.594962+00:00` (UTC).

## Primary page

- [Word Cloud](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/word-cloud-classic.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Model insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/index.html): Linked from this page.
- [Understand](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/index.html): Linked from this page.
- [Word Cloud in Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/word-cloud.html): Linked from this page.
- [n-gram](https://docs.datarobot.com/en/docs/reference/glossary/index.html#ngram): Linked from this page.
- [coefficient](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/coefficients-classic.html#coefficientpreprocessing-information-with-text-variables): Linked from this page.
- [export](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/export-results.html): Linked from this page.
- [Text-based insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/analyze-insights.html#text-based-insights): Linked from this page.

## Documentation content

# Word Cloud

Text variables often contain words that are highly indicative of the response. The Word Cloud insight displays up to the 200 most impactful words and short phrases in word cloud format.

> [!NOTE] Note
> See [Word Cloud in Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/word-cloud.html) for additional capabilities available when viewing an experiment's word cloud in DataRobot NextGen.

Select a model from the Leaderboard and click Understand > Word Cloud to display the chart:

|  | Element | Description |
| --- | --- | --- |
| (1) | Selected word | Displays details about the selected word. (The term word here equates to an n-gram, which can be a sequence of words.) Mouse over a word to select it. Words that appear more frequently display in a larger font size in the Word Cloud, and those that appear less frequently display in smaller font sizes. |
| (2) | Coefficient | Displays the coefficient value specific to the word. |
| (3) | Color spectrum | Displays a legend for the color spectrum and values for words, from blue to red, with blue indicating a negative effect and red indicating a positive effect. |
| (4) | Appears in # rows | Specifies the number of rows the word appears in. |
| (5) | Filter stop words | Removes stop words (commonly used terms that can be excluded from searches) from the display. |
| (6) | Export | Allows you to export the Word Cloud. |
| (7) | Zoom controls | Enlarges or reduces the image displayed on the canvas. Alternatively, double-click on the image. To move areas of the display into focus, click and drag. |
| (8) | Select class | For multiclass projects, selects the class to investigate using the Word Cloud. |

The Word Cloud visualization is supported in the following model types and blueprints:

- Binary classification:
- Multiclass:
- Regression:

> [!NOTE] Note
> The Word Cloud for a model is based on the data used to train that model, not on the entire dataset. For example, a model trained on a 32% sample size will result in a Word Cloud that reflects those same 32% of rows.

See [Text-based insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/analyze-insights.html#text-based-insights) for a description of how DataRobot handles single-character words.