# Return related terms

**URL:** <https://discuss.elastic.co/t/return-related-terms/17864>\
**Category:** Elasticsearch\
**Created:** [June 2, 2014, 7:17pm UTC](https://discuss.elastic.co/t/return-related-terms/17864 "2014-06-02T19:17:03Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Antonio\_Augusto\_Sant](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/antonio_augusto_sant/32/82851_2.png) [@Antonio\_Augusto\_Sant](https://discuss.elastic.co/u/Antonio_Augusto_Sant)\
**Post date:** [June 2, 2014, 7:17pm UTC](https://discuss.elastic.co/t/return-related-terms/17864/1 "2014-06-02T19:17:03Z")

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Hi,

Is it possible to do search that returns the terms that occur on a field  
that matches my search?

For example, if I have some docs like:

{  
"field": "a dog is a great animal"  
}

{  
"field" : "my favorite animal are cats"  
}

{  
"field": "what a great animal is my dog"  
}

{  
"field": "my pet is a cat"  
}

I would like my search for _animal_, to return something like:

{  
"field": [{ "term": "dog", "value": 2}, {"term": "cats", "value":1]  
}

It tells me that, when people talk about animals, they usually talk about  
dog(s) or cat(s).  
Obviously, in my example I've already filtered "irrelevant" (terms. What  
could be accomplished with some kind of filtering inside the query.

I'm planning on using something like this to parse logs, and look for  
"hidden" evidences. For example, when filtering my logs by "ssh", I'd like  
to see what are the most common terms associated with it (maybe user names,  
hosts, failures and so on).

Thanks a lot.

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**Author:** ![ElasticSearch\_Users\_](https://avatars.discourse-cdn.com/v4/letter/e/b4bc9f/32.png) [@ElasticSearch\_Users\_](https://discuss.elastic.co/u/ElasticSearch_Users_)\
**Post date:** [June 2, 2014, 7:45pm UTC](https://discuss.elastic.co/t/return-related-terms/17864/2 "2014-06-02T19:45:18Z")

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One possible way is to augment your search with a terms aggregation query  
on an analyzed version of the field you want to extract the terms from. Be  
careful though is this can be very very expensive if you have a field with  
lots of distinct terms.

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**Author:** ![Antonio\_Augusto\_Sant](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/antonio_augusto_sant/32/82851_2.png) [@Antonio\_Augusto\_Sant](https://discuss.elastic.co/u/Antonio_Augusto_Sant)\
**Post date:** [June 2, 2014, 8:50pm UTC](https://discuss.elastic.co/t/return-related-terms/17864/3 "2014-06-02T20:50:54Z")

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Thanks Binh, I've really miss read the Terms Aggregation 🙂

On Monday, June 2, 2014 4:45:18 PM UTC-3, Binh Ly wrote:

> One possible way is to augment your search with a terms aggregation query  
> on an analyzed version of the field you want to extract the terms from. Be  
> careful though is this can be very very expensive if you have a field with  
> lots of distinct terms.

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 1:25am UTC](https://discuss.elastic.co/t/return-related-terms/17864/4 "2017-07-06T01:25:09Z")

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