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Analyzersedit

Elasticsearch ships with a wide range of built-in analyzers, which can be used in any index without further configuration:

• Standard Analyzer

• The standard analyzer divides text into terms on word boundaries, as defined by the Unicode Text Segmentation algorithm. It removes most punctuation, lowercases terms, and supports removing stop words.

• Simple Analyzer

• The simple analyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms.

• Whitespace Analyzer

• The whitespace analyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms.

• Stop Analyzer

• The stop analyzer is like the simple analyzer, but also supports removal of stop words.

• Keyword Analyzer

• The keyword analyzer is a “noop” analyzer that accepts whatever text it is given and outputs the exact same text as a single term.

• Pattern Analyzer

• The pattern analyzer uses a regular expression to split the text into terms. It supports lower-casing and stop words.

• Language Analyzers

• Elasticsearch provides many language-specific analyzers like english or french.

• Fingerprint Analyzer

• The fingerprint analyzer is a specialist analyzer which creates a fingerprint which can be used for duplicate detection.

Custom analyzersedit

If you do not find an analyzer suitable for your needs, you can create a custom analyzer which combines the appropriate character filters, tokenizer, and token filters.

https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-analyzers.html