OpenSearch/docs/reference/analysis/tokenizers/chargroup-tokenizer.asciidoc

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[[analysis-chargroup-tokenizer]]
=== Char Group Tokenizer
The `char_group` tokenizer breaks text into terms whenever it encounters a
character which is in a defined set. It is mostly useful for cases where a simple
custom tokenization is desired, and the overhead of use of the <<analysis-pattern-tokenizer, `pattern` tokenizer>>
is not acceptable.
[float]
=== Configuration
The `char_group` tokenizer accepts one parameter:
[horizontal]
`tokenize_on_chars`::
A list containing a list of characters to tokenize the string on. Whenever a character
from this list is encountered, a new token is started. This accepts either single
characters like e.g. `-`, or character groups: `whitespace`, `letter`, `digit`,
`punctuation`, `symbol`.
[float]
=== Example output
[source,js]
---------------------------
POST _analyze
{
"tokenizer": {
"type": "char_group",
"tokenize_on_chars": [
"whitespace",
"-",
"\n"
]
},
"text": "The QUICK brown-fox"
}
---------------------------
// CONSOLE
returns
[source,js]
---------------------------
{
"tokens": [
{
"token": "The",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "QUICK",
"start_offset": 4,
"end_offset": 9,
"type": "word",
"position": 1
},
{
"token": "brown",
"start_offset": 10,
"end_offset": 15,
"type": "word",
"position": 2
},
{
"token": "fox",
"start_offset": 16,
"end_offset": 19,
"type": "word",
"position": 3
}
]
}
---------------------------
// TESTRESPONSE