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_analyze

Analyze the text and generate tokens.

Request

POST /es/_analyze

{
  "analyzer" : "standard",
  "text" : "50 first dates"
}

Response

{
    "tokens": [
        {
            "end_offset": 2,
            "keyword": false,
            "position": 1,
            "start_offset": 0,
            "token": "50",
            "type": "Numeric"
        },
        {
            "end_offset": 8,
            "keyword": false,
            "position": 1,
            "start_offset": 3,
            "token": "first",
            "type": "AlphaNumeric"
        },
        {
            "end_offset": 14,
            "keyword": false,
            "position": 1,
            "start_offset": 9,
            "token": "dates",
            "type": "AlphaNumeric"
        }
    ]
}

Use a special analyzer

{
  "analyzer" : "standard",
  "text" : "50 first dates"
}

Use a special tokenizer

{
  "tokenizer" : "standard",
  "text" : "50 first dates"
}

Use a special tokenizer and filter

{
  "tokenizer" : "standard",
  "char_filter" : ["html"],
  "token_filter" : ["camel_case"],
  "text" : "50 first dates"
}

Support Analyzers

  • standard
  • simple
  • keyword
  • web
  • regexp
  • stop
  • whitespace

Luanguages analyzers

Country Shortened form
arabic ar
Asia Countries cjk
sorani ckb
danish da
german de
english en
spanish es
persian fa
finnish fi
french fr
hindi hi
hungarian hu
italian it
dutch nl
norwegian no
portuguese pt
romanian ro
russian ru
swedish sv
turkish tr 
{
  "analyzer" : "english",
  "text" : "Hello World"
}

OR

{
  "analyzer" : "en",
  "text" : "Hello World"
}

Chinese analyzers

  • gse_standard
  • gse_search
{
  "analyzer" : "gse_search",
  "text" : "你好世界"
}

OR

{
  "analyzer" : "gse_standard",
  "text" : "你好世界"
}

Support Tokenizers

  • character
  • char_group
  • ngram
  • edge_ngram
  • exception
  • letter
  • simple
  • lower_case
  • path_hierarchy
  • regexp
  • single
  • keyword
  • standard
  • web
  • whitespace
  • gse_standard
  • gse_search

Support TokenFilters

  • apostrophe
  • camel_case
  • lower_case
  • upper_case
  • dict
  • ngram
  • edge_ngram
  • elision
  • keyword
  • length
  • porter
  • reverse
  • regexp
  • shingle
  • trim
  • stop
  • truncate
  • unicodenorm
  • unique
  • gse_stop

Luanguages tokenFilters

Country token_filter
arabic arabic_normalization / ar_normalization / arabic_stemmer / ar_stemmer
cjk cjk_bigram / cjk_width
sorani sorani_normalization / ckb_normalization / sorani_stemmer / ckb_stemmer
danish danish_stemmer / da_stemmer
german german_normalization / de_normalization / german_stemmer / de_stemmer / german_light_stemmer / de_light_stemmer
english english_possessive_stemmer / en_possessive_stemmer / english_stemmer / en_stemmer
spanish spanish_stemmer / es_stemmer / spanish_light_stemmer / es_light_stemmer
persian persian_normalization / fa_normalization
finnish finnish_stemmer / fi_stemmer
french french_elision / fr_elision / french_stemmer / fr_stemmer / french_light_stemmer / fr_light_stemmer / french_minimal_stemmer / fr_minimal_stemmer
irish irish_elision / ga_elision
hindi hindi_normalization / hi_normalization / hindi_stemmer / hi_stemmer
hungarian hungarian_stemmer / hu_stemmer
indic indic_normalization / in_normalization
italian italian_elision / it_elision / italian_stemmer / it_stemmer / italian_light_stemmer / it_light_stemmer
dutch dutch_stemmer / nl_stemmer
norwegian norwegian_stemmer / no_stemmer
portuguese portuguese_light_stemmer / portuguese_stemmer / pt_light_stemmer
romanian romanian_stemmer / ro_stemmer
russian russian_stemmer / ru_stemmer
swedish swedish_stemmer / sv_stemmer
turkish turkish_stemmer / tr_stemmer

Support CharFilters

  • ascii_folding
  • html
  • zero_width_non_joiner
  • regexp
  • mapping