# Create N-gram Tokens

## How to Access This Feature

### From + (plus) Button

You can access it from 'Add' (Plus) button. "Text Mining..." -> "Create N-Gram Tokens". ![](/files/-M4oNEkROxW7sWNLSicM)

## How to Use?

![](/files/-M4oNEkTnooX2zORi-45)

* Select a column that has tokenized text - Set a column that has tokens. This is "token" column if it's tokenized by [do\_tokenize](/main/do_tokenize.md) function.
* Select a column as a document - A column considered as document id. If you run [do\_tokenize](/main/do_tokenize.md) beforehand, this can be document\_id.
* Select a column as sentence id - A column considered as sentence id in a document. If you run do\_tokenize beforehand, this can be sentence\_id.
* Max # of Tokens to be Concatenated (Optional) - The default is 2. Maximum number of tokens to be connected.
* Text to Concatenate Words (Optional) - The default is "\_". Character to be used to connect ngrams.

  )


---

# 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.exploratory.io/main/do_ngram.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.