Elasticsearchのanalyzerを試した

公式サイトより。
なおjsonデータの整形はここを利用した。

standard analyzer

• Unicode Text Segmentationアルゴリズムで定義されているように、テキストを単語境界上の単語に分割します。ほとんどの句読点を削除し、用語を小文字にし、ストップワードの削除をサポート。

curl -XPOST "http://localhost:9200/_analyze/" --data-binary @data.json

data.json

{
  "analyzer": "standard",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

結果

{
  "tokens": [
    {
      "token": "the",
      "start_offset": 0,
      "end_offset": 3,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": 2,
      "start_offset": 4,
      "end_offset": 5,
      "type": "<NUM>",
      "position": 1
    },
    {
      "token": "quick",
      "start_offset": 6,
      "end_offset": 11,
      "type": "<ALPHANUM>",
      "position": 2
    },
    {
      "token": "brown",
      "start_offset": 12,
      "end_offset": 17,
      "type": "<ALPHANUM>",
      "position": 3
    },
    {
      "token": "foxes",
      "start_offset": 18,
      "end_offset": 23,
      "type": "<ALPHANUM>",
      "position": 4
    },
    {
      "token": "jumped",
      "start_offset": 24,
      "end_offset": 30,
      "type": "<ALPHANUM>",
      "position": 5
    },
    {
      "token": "over",
      "start_offset": 31,
      "end_offset": 35,
      "type": "<ALPHANUM>",
      "position": 6
    },
    {
      "token": "the",
      "start_offset": 36,
      "end_offset": 39,
      "type": "<ALPHANUM>",
      "position": 7
    },
    {
      "token": "lazy",
      "start_offset": 40,
      "end_offset": 44,
      "type": "<ALPHANUM>",
      "position": 8
    },
    {
      "token": "dog's",
      "start_offset": 45,
      "end_offset": 50,
      "type": "<ALPHANUM>",
      "position": 9
    },
    {
      "token": "bone",
      "start_offset": 51,
      "end_offset": 55,
      "type": "<ALPHANUM>",
      "position": 10
    }
  ]
}

whitespace analyzer

• 空白文字に遭遇するたびにテキストを単語に分割します。小文字ではありません。

curl -XPOST "http://localhost:9200/_analyze/" --data-binary @data.json

data.json

{
  "analyzer": "whitespace",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

結果

{
  "tokens": [
    {
      "token": "The",
      "start_offset": 0,
      "end_offset": 3,
      "type": "word",
      "position": 0
    },
    {
      "token": 2,
      "start_offset": 4,
      "end_offset": 5,
      "type": "word",
      "position": 1
    },
    {
      "token": "QUICK",
      "start_offset": 6,
      "end_offset": 11,
      "type": "word",
      "position": 2
    },
    {
      "token": "Brown-Foxes",
      "start_offset": 12,
      "end_offset": 23,
      "type": "word",
      "position": 3
    },
    {
      "token": "jumped",
      "start_offset": 24,
      "end_offset": 30,
      "type": "word",
      "position": 4
    },
    {
      "token": "over",
      "start_offset": 31,
      "end_offset": 35,
      "type": "word",
      "position": 5
    },
    {
      "token": "the",
      "start_offset": 36,
      "end_offset": 39,
      "type": "word",
      "position": 6
    },
    {
      "token": "lazy",
      "start_offset": 40,
      "end_offset": 44,
      "type": "word",
      "position": 7
    },
    {
      "token": "dog's",
      "start_offset": 45,
      "end_offset": 50,
      "type": "word",
      "position": 8
    },
    {
      "token": "bone.",
      "start_offset": 51,
      "end_offset": 56,
      "type": "word",
      "position": 9
    }
  ]
}

keyword analyzer

• 与えられたテキストを受け入れ、単一の用語と全く同じテキストを出力する「noop」アナライザです。

curl -XPOST "http://localhost:9200/_analyze/" --data-binary @data.json

data.json

{
  "analyzer": "keyword",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

結果

{
  "tokens": [
    {
      "token": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
      "start_offset": 0,
      "end_offset": 56,
      "type": "word",
      "position": 0
    }
  ]
}