# Smart search
**URL:** https://discuss.elastic.co/t/smart-search/72263
**Category:** Elasticsearch
**Created:** [January 20, 2017, 4:51am UTC](https://discuss.elastic.co/t/smart-search/72263 "2017-01-20T04:51:01Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@Umar\_Memon](https://discuss.elastic.co/u/Umar_Memon)
#### Post date: [January 20, 2017, 4:51am UTC](https://discuss.elastic.co/t/smart-search/72263/1 "2017-01-20T04:51:01Z")
Can elastic search has the feature of smart search, For example if i searches for the computer search result also retrive the content having laptop.
Is it possible with elastic search, if so any refrence.
I am using ES 5.X
---
### Author:  [@dadoonet](https://discuss.elastic.co/u/dadoonet)
#### Post date: [January 20, 2017, 7:02am UTC](https://discuss.elastic.co/t/smart-search/72263/2 "2017-01-20T07:02:36Z")
Looks like you can do similar things by using synonyms.
But you need to provide the dictionary you want to use.
---
### Author:  [@Umar\_Memon](https://discuss.elastic.co/u/Umar_Memon)
#### Post date: [January 23, 2017, 5:25am UTC](https://discuss.elastic.co/t/smart-search/72263/3 "2017-01-23T05:25:05Z")
Thank you for the response,
Can i get the path way for implementing synonyms by providing the Dictionary using the .Net Nest with Elasticsearch 5.X
Thanks in advance.
---
### Author:  [@dadoonet](https://discuss.elastic.co/u/dadoonet)
#### Post date: [January 23, 2017, 8:25am UTC](https://discuss.elastic.co/t/smart-search/72263/4 "2017-01-23T08:25:46Z")
I don't write .Net / Nest code. Can't help here. Sorry.
But may be other readers can?
---
### Author:  [@forloop](https://discuss.elastic.co/u/forloop)
#### Post date: [January 23, 2017, 12:15pm UTC](https://discuss.elastic.co/t/smart-search/72263/5 "2017-01-23T12:15:34Z")
Include a text file containing your synonyms in a path that is accessible relative to the elasticsearch config directory. For this example, let's create a `computer_synonyms.txt` file in `/config/analysis` with the following content
```nohighlight
computer, laptop
```
Now, create an index with a custom analyzer with a synonym token filter that uses the synonyms file we've created
```auto
// Define a POCO type to map documents in Elasticsearch to
public class Document
{
public string Title { get; set; }
}
var pool = new SingleNodeConnectionPool(new Uri("http://localhost:9200"));
var defaultIndex = "examples";
var connectionSettings = new ConnectionSettings(pool)
.DefaultIndex(defaultIndex);
var client = new ElasticClient(connectionSettings);
var indexResponse = client.CreateIndex(defaultIndex, c => c
.Settings(s => s
.Analysis(a => a
.TokenFilters(tf => tf
// synonym token filter, using the synonyms file
.Synonym("computer_synonyms_filter", stf => stf
.SynonymsPath("analysis/computer_synonyms.txt")
)
)
.Analyzers(an => an
// custom analyzer that uses a standard tokenizer
// along with lowercase and our computer_synonyms token filters
.Custom("computer_synonyms_analyzer", ca => ca
.Tokenizer("standard")
.Filters(
"lowercase",
"computer_synonyms_filter")
)
)
)
)
.Mappings(m => m
// map our document POCO type
.Map(d => d
.AutoMap()
.Properties(p => p
.Text(s => s
.Name(n => n.Title)
// specify our custom analyzer as the analyzer to use
// for the Title property
.Analyzer("computer_synonyms_analyzer")
)
)
)
)
);
```
With the index created, along with the custom analyzer and the mapping for our `Document` POCO type, let's index a document and then search for it
```auto
client.Index(new Document { Title = "laptop" }, i => i.Refresh(Refresh.WaitFor));
var searchResponse = client.Search(s => s
.Query(q => q
.Match(m => m
.Field(f => f.Title)
.Query("computer")
)
)
);
```
`searchResponse` returns the following json, demonstrating that our synonym token filter is working
```json
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 0.46029136,
"hits" : [
{
"_index" : "examples",
"_type" : "document",
"_id" : "AVnLQF4tcWwxFhzvdQ06",
"_score" : 0.46029136,
"_source" : {
"title" : "laptop"
}
}
]
}
}
```
---
### Author:  [@Umar\_Memon](https://discuss.elastic.co/u/Umar_Memon)
#### Post date: [February 3, 2017, 4:18am UTC](https://discuss.elastic.co/t/smart-search/72263/6 "2017-02-03T04:18:59Z")
Thank You for responding......It will really healpful for me.....Will implement and give the feedback.
---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [March 3, 2017, 4:19am UTC](https://discuss.elastic.co/t/smart-search/72263/7 "2017-03-03T04:19:42Z")
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