[[analysis-fingerprint-analyzer]]
=== Fingerprint Analyzer

The `fingerprint` analyzer implements a
https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth#fingerprint[fingerprinting algorithm]
which is used by the OpenRefine project to assist in clustering.

The `fingerprint` analyzer is composed of a <<analysis-standard-tokenizer>>, and four
token filters (in this order): <<analysis-lowercase-tokenfilter>>, <<analysis-stop-tokenfilter>>,
<<analysis-fingerprint-tokenfilter>> and <<analysis-asciifolding-tokenfilter>>.

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. For example, the sentence:

____
"Yes yes, Gödel said this sentence is consistent and."
____

will be transformed into the token: `"and consistent godel is said sentence this yes"`


Notice how the words are all lowercased, the umlaut in "gödel" has been normalized to "godel",
punctuation has been removed, and "yes" has been de-duplicated.

The `fingerprint` analyzer has these configurable settings

[cols="<,<",options="header",]
|=======================================================================
|Setting |Description
|`separator` | The character that separates the tokens after concatenation.
Defaults to a space.
|`max_output_size` | The maximum token size to emit. Defaults to `255`. See <<analysis-fingerprint-tokenfilter-max-size>>
|`preserve_original`| If true, emits both the original and folded version of
 tokens that contain extended characters.  Defaults to `false`
|`stopwords` | A list of stop words to use. Defaults to an empty list (`_none_`).
|`stopwords_path` | A path (either relative to `config` location, or absolute) to a stopwords
                        file configuration. Each stop word should be in its own "line" (separated
                        by a line break). The file must be UTF-8 encoded.
|=======================================================================