OpenSearch/docs/reference/analysis/analyzers/stop-analyzer.asciidoc

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[[analysis-stop-analyzer]]
=== Stop Analyzer
The `stop` analyzer is the same as the <<analysis-simple-analyzer,`simple` analyzer>>
but adds support for removing stop words. It defaults to using the
`_english_` stop words.
[float]
=== Definition
It consists of:
Tokenizer::
* <<analysis-lowercase-tokenizer,Lower Case Tokenizer>>
Token filters::
* <<analysis-stop-tokenfilter,Stop Token Filter>>
[float]
=== Example output
[source,js]
---------------------------
POST _analyze
{
"analyzer": "stop",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
---------------------------
// CONSOLE
/////////////////////
[source,js]
----------------------------
{
"tokens": [
{
"token": "quick",
"start_offset": 6,
"end_offset": 11,
"type": "word",
"position": 1
},
{
"token": "brown",
"start_offset": 12,
"end_offset": 17,
"type": "word",
"position": 2
},
{
"token": "foxes",
"start_offset": 18,
"end_offset": 23,
"type": "word",
"position": 3
},
{
"token": "jumped",
"start_offset": 24,
"end_offset": 30,
"type": "word",
"position": 4
},
{
"token": "over",
"start_offset": 31,
"end_offset": 35,
"type": "word",
"position": 5
},
{
"token": "lazy",
"start_offset": 40,
"end_offset": 44,
"type": "word",
"position": 7
},
{
"token": "dog",
"start_offset": 45,
"end_offset": 48,
"type": "word",
"position": 8
},
{
"token": "s",
"start_offset": 49,
"end_offset": 50,
"type": "word",
"position": 9
},
{
"token": "bone",
"start_offset": 51,
"end_offset": 55,
"type": "word",
"position": 10
}
]
}
----------------------------
// TESTRESPONSE
/////////////////////
The above sentence would produce the following terms:
[source,text]
---------------------------
[ quick, brown, foxes, jumped, over, lazy, dog, s, bone ]
---------------------------
[float]
=== Configuration
The `stop` analyzer accepts the following parameters:
[horizontal]
`stopwords`::
A pre-defined stop words list like `_english_` or an array containing a
list of stop words. Defaults to `_english_`.
`stopwords_path`::
The path to a file containing stop words.
See the <<analysis-stop-tokenfilter,Stop Token Filter>> for more information
about stop word configuration.
[float]
=== Example configuration
In this example, we configure the `stop` analyzer to use a specified list of
words as stop words:
[source,js]
----------------------------
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_stop_analyzer": {
"type": "stop",
"stopwords": ["the", "over"]
}
}
}
}
}
GET _cluster/health?wait_for_status=yellow
POST my_index/_analyze
{
"analyzer": "my_stop_analyzer",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
----------------------------
// CONSOLE
/////////////////////
[source,js]
----------------------------
{
"tokens": [
{
"token": "quick",
"start_offset": 6,
"end_offset": 11,
"type": "word",
"position": 1
},
{
"token": "brown",
"start_offset": 12,
"end_offset": 17,
"type": "word",
"position": 2
},
{
"token": "foxes",
"start_offset": 18,
"end_offset": 23,
"type": "word",
"position": 3
},
{
"token": "jumped",
"start_offset": 24,
"end_offset": 30,
"type": "word",
"position": 4
},
{
"token": "lazy",
"start_offset": 40,
"end_offset": 44,
"type": "word",
"position": 7
},
{
"token": "dog",
"start_offset": 45,
"end_offset": 48,
"type": "word",
"position": 8
},
{
"token": "s",
"start_offset": 49,
"end_offset": 50,
"type": "word",
"position": 9
},
{
"token": "bone",
"start_offset": 51,
"end_offset": 55,
"type": "word",
"position": 10
}
]
}
----------------------------
// TESTRESPONSE
/////////////////////
The above example produces the following terms:
[source,text]
---------------------------
[ quick, brown, foxes, jumped, lazy, dog, s, bone ]
---------------------------