# Index text as keyword array leveraging tokenizers and filters
**URL:** https://discuss.elastic.co/t/index-text-as-keyword-array-leveraging-tokenizers-and-filters/237976
**Category:** Elasticsearch
**Created:** [June 21, 2020, 7:47pm UTC](https://discuss.elastic.co/t/index-text-as-keyword-array-leveraging-tokenizers-and-filters/237976 "2020-06-21T19:47:30Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@rsinger86](https://discuss.elastic.co/u/rsinger86)
#### Post date: [June 21, 2020, 7:47pm UTC](https://discuss.elastic.co/t/index-text-as-keyword-array-leveraging-tokenizers-and-filters/237976/1 "2020-06-21T19:47:30Z")
Say I am indexing emails as documents into Elasticsearch, and I'd like to index the email body as an array of [keywords](https://www.elastic.co/guide/en/elasticsearch/reference/current/keyword.html), in addition to indexing it as an analyzed text field.
My purpose is that I'd like to do term aggregations on the words in the email body field, but I don't want to enable fielddata. Indexing using the keyword datatype (as an array) allows me to have these stored as doc\_values on disk.
For example if I want to index this text:
_"Greetings user: Welcome to our app! We are hopeful that you will have an enjoyable time!"_
In my application, I could naively convert this text to an array, by breaking on whitespace and lowercasing the elements, so that I index a keyword array that looks like this:
`["greetings", "user:", "welcome", "to", "our", "app", "we", "are", "hopeful", "that", "you", "will", "have", "an", "enjoyable", "time!']`
But it would be nice if I could use Elasticsearch's built-in tokenizers and filters to remove the stop words, more intelligently break the text into words, and do stemming, so that I index a keyword array like this:
`["greet", "user", "welcome", "app", "hope", "enjoy", "time']`
Is there anyway I can set up a keyword mapping that leverages the text analyzers in this way? Here is the pseudo mapping that I'm going for:
```
{
"mappings": {
"properties": {
"email_body_words": {
"type": "keyword",
"split_text_into_array_of_k_stemmed_tokens_and_remove_stop_words": true
}
}
}
}
```
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 19, 2020, 7:47pm UTC](https://discuss.elastic.co/t/index-text-as-keyword-array-leveraging-tokenizers-and-filters/237976/2 "2020-07-19T19:47:30Z")
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