elasticsearch/docs/reference/text-analysis/analysis-stop-analyzer.md

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Stop	https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-stop-analyzer.html

Stop analyzer [analysis-stop-analyzer]

The stop analyzer is the same as the simple analyzer but adds support for removing stop words. It defaults to using the _english_ stop words.

Example output [_example_output_5]

POST _analyze
{
  "analyzer": "stop",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

The above sentence would produce the following terms:

[ quick, brown, foxes, jumped, over, lazy, dog, s, bone ]

Configuration [_configuration_6]

The stop analyzer accepts the following parameters:

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. This path is relative to the Elasticsearch config directory.

See the Stop Token Filter for more information about stop word configuration.

Example configuration [_example_configuration_5]

In this example, we configure the stop analyzer to use a specified list of words as stop words:

PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_stop_analyzer": {
          "type": "stop",
          "stopwords": ["the", "over"]
        }
      }
    }
  }
}

POST my-index-000001/_analyze
{
  "analyzer": "my_stop_analyzer",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

The above example produces the following terms:

[ quick, brown, foxes, jumped, lazy, dog, s, bone ]

Definition [_definition_5]

It consists of:

Tokenizer

• Lower Case Tokenizer

Token filters

• Stop Token Filter

If you need to customize the stop analyzer beyond the configuration parameters then you need to recreate it as a custom analyzer and modify it, usually by adding token filters. This would recreate the built-in stop analyzer and you can use it as a starting point for further customization:

PUT /stop_example
{
  "settings": {
    "analysis": {
      "filter": {
        "english_stop": {
          "type":       "stop",
          "stopwords":  "_english_" <1>
        }
      },
      "analyzer": {
        "rebuilt_stop": {
          "tokenizer": "lowercase",
          "filter": [
            "english_stop"          <2>
          ]
        }
      }
    }
  }
}

1. The default stopwords can be overridden with the stopwords or stopwords_path parameters.
2. You’d add any token filters after english_stop.