空格分析器
编辑空格分析器
编辑whitespace 分析器会在遇到空格字符时将文本分解为词项。
示例输出
编辑resp = client.indices.analyze(
analyzer="whitespace",
text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
)
print(resp)
response = client.indices.analyze(
body: {
analyzer: 'whitespace',
text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
)
puts response
const response = await client.indices.analyze({
analyzer: "whitespace",
text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
});
console.log(response);
POST _analyze
{
"analyzer": "whitespace",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
上面的句子会产生以下词项
[ The, 2, QUICK, Brown-Foxes, jumped, over, the, lazy, dog's, bone. ]
配置
编辑whitespace 分析器不可配置。
定义
编辑它由以下部分组成
- 分词器
如果需要自定义 whitespace 分析器，则需要将其重新创建为 custom 分析器并进行修改，通常是通过添加词项过滤器。这将重新创建内置的 whitespace 分析器，您可以将其用作进一步自定义的起点。
resp = client.indices.create(
index="whitespace_example",
settings={
"analysis": {
"analyzer": {
"rebuilt_whitespace": {
"tokenizer": "whitespace",
"filter": []
}
}
}
},
)
print(resp)
response = client.indices.create(
index: 'whitespace_example',
body: {
settings: {
analysis: {
analyzer: {
rebuilt_whitespace: {
tokenizer: 'whitespace',
filter: []
}
}
}
}
}
)
puts response
const response = await client.indices.create({
index: "whitespace_example",
settings: {
analysis: {
analyzer: {
rebuilt_whitespace: {
tokenizer: "whitespace",
filter: [],
},
},
},
},
});
console.log(response);