经典分词器

编辑

classic 分词器是一个基于语法的分词器,适用于英语文档。此分词器对缩写、公司名称、电子邮件地址和互联网主机名有特殊的处理启发式方法。然而,这些规则并不总是有效,而且该分词器对于除英语以外的大多数语言效果不佳。

  • 它在大多数标点符号处分割单词,并移除标点符号。但是,如果一个点后面没有空格,则该点被视为标记的一部分。
  • 它在连字符处分割单词,除非标记中包含数字,在这种情况下,整个标记被解释为产品编号,并且不分割。
  • 它将电子邮件地址和互联网主机名识别为一个标记。

示例输出

编辑
resp = client.indices.analyze(
    tokenizer="classic",
    text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
)
print(resp)
response = client.indices.analyze(
  body: {
    tokenizer: 'classic',
    text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
  }
)
puts response
const response = await client.indices.analyze({
  tokenizer: "classic",
  text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
});
console.log(response);
POST _analyze
{
  "tokenizer": "classic",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

上述句子将产生以下词条

[ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog's, bone ]

配置

编辑

classic 分词器接受以下参数:

max_token_length

最大标记长度。如果发现标记超过此长度,则将在 max_token_length 间隔处分割。默认为 255

示例配置

编辑

在此示例中,我们将 classic 分词器配置为具有 5 的 max_token_length (用于演示目的)

resp = client.indices.create(
    index="my-index-000001",
    settings={
        "analysis": {
            "analyzer": {
                "my_analyzer": {
                    "tokenizer": "my_tokenizer"
                }
            },
            "tokenizer": {
                "my_tokenizer": {
                    "type": "classic",
                    "max_token_length": 5
                }
            }
        }
    },
)
print(resp)

resp1 = client.indices.analyze(
    index="my-index-000001",
    analyzer="my_analyzer",
    text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
)
print(resp1)
response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          my_analyzer: {
            tokenizer: 'my_tokenizer'
          }
        },
        tokenizer: {
          my_tokenizer: {
            type: 'classic',
            max_token_length: 5
          }
        }
      }
    }
  }
)
puts response

response = client.indices.analyze(
  index: 'my-index-000001',
  body: {
    analyzer: 'my_analyzer',
    text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
  }
)
puts response
const response = await client.indices.create({
  index: "my-index-000001",
  settings: {
    analysis: {
      analyzer: {
        my_analyzer: {
          tokenizer: "my_tokenizer",
        },
      },
      tokenizer: {
        my_tokenizer: {
          type: "classic",
          max_token_length: 5,
        },
      },
    },
  },
});
console.log(response);

const response1 = await client.indices.analyze({
  index: "my-index-000001",
  analyzer: "my_analyzer",
  text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
});
console.log(response1);
PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "classic",
          "max_token_length": 5
        }
      }
    }
  }
}

POST my-index-000001/_analyze
{
  "analyzer": "my_analyzer",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

上面的示例产生以下词条

[ The, 2, QUICK, Brown, Foxes, jumpe, d, over, the, lazy, dog's, bone ]