IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

› › ›

Fingerprint Analyzer

edit

Fingerprint Analyzer

edit

The fingerprint analyzer implements a fingerprinting algorithm which is used by the OpenRefine project to assist in clustering.

Input text is lowercased, normalized to remove extended characters, sorted, deduplicated and concatenated into a single token. If a stopword list is configured, stop words will also be removed.

Example output

edit

POST _analyze
{
  "analyzer": "fingerprint",
  "text": "Yes yes, Gödel said this sentence is consistent and."
}

The above sentence would produce the following single term:

[ and consistent godel is said sentence this yes ]

Configuration

edit

The fingerprint analyzer accepts the following parameters:

`separator`	The character to use to concate the terms. Defaults to a space.
`max_output_size`	The maximum token size to emit. Defaults to `255`. Tokens larger than this size will be discarded.
`stopwords`	A pre-defined stop words list like `_english_` or an array containing a list of stop words. Defaults to `\_none_`.
`stopwords_path`	The path to a file containing stop words.

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

Example configuration

edit

In this example, we configure the fingerprint analyzer to use the pre-defined list of English stop words:

PUT my_index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_fingerprint_analyzer": {
          "type": "fingerprint",
          "stopwords": "_english_"
        }
      }
    }
  }
}

POST my_index/_analyze
{
  "analyzer": "my_fingerprint_analyzer",
  "text": "Yes yes, Gödel said this sentence is consistent and."
}

The above example produces the following term:

[ consistent godel said sentence yes ]

Definition

edit

The fingerprint tokenizer consists of:

Tokenizer

Standard Tokenizer

Token Filters (in order)

If you need to customize the fingerprint 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 fingerprint analyzer and you can use it as a starting point for further customization:

PUT /fingerprint_example
{
  "settings": {
    "analysis": {
      "analyzer": {
        "rebuilt_fingerprint": {
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "asciifolding",
            "fingerprint"
          ]
        }
      }
    }
  }
}

« Language Analyzers Custom Analyzer »