Classic 分词过滤器
编辑Classic 分词过滤器
编辑对由classic 分词器生成的词条执行可选的后处理。
此过滤器会移除单词末尾的英文所有格（'s）并移除首字母缩写词中的点。它使用 Lucene 的 ClassicFilter。
示例
编辑下面的 analyze API 请求演示了 classic 分词过滤器的使用方法。
resp = client.indices.analyze(
tokenizer="classic",
filter=[
"classic"
],
text="The 2 Q.U.I.C.K. Brown-Foxes jumped over the lazy dog's bone.",
)
print(resp)
response = client.indices.analyze(
body: {
tokenizer: 'classic',
filter: [
'classic'
],
text: "The 2 Q.U.I.C.K. Brown-Foxes jumped over the lazy dog's bone."
}
)
puts response
const response = await client.indices.analyze({
tokenizer: "classic",
filter: ["classic"],
text: "The 2 Q.U.I.C.K. Brown-Foxes jumped over the lazy dog's bone.",
});
console.log(response);
GET /_analyze
{
"tokenizer" : "classic",
"filter" : ["classic"],
"text" : "The 2 Q.U.I.C.K. Brown-Foxes jumped over the lazy dog's bone."
}
该过滤器生成以下词条：
[ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, bone ]
添加到分析器
编辑下面的 创建索引 API 请求使用 classic 分词过滤器来配置新的 自定义分析器。
resp = client.indices.create(
index="classic_example",
settings={
"analysis": {
"analyzer": {
"classic_analyzer": {
"tokenizer": "classic",
"filter": [
"classic"
]
}
}
}
},
)
print(resp)
response = client.indices.create(
index: 'classic_example',
body: {
settings: {
analysis: {
analyzer: {
classic_analyzer: {
tokenizer: 'classic',
filter: [
'classic'
]
}
}
}
}
}
)
puts response
const response = await client.indices.create({
index: "classic_example",
settings: {
analysis: {
analyzer: {
classic_analyzer: {
tokenizer: "classic",
filter: ["classic"],
},
},
},
},
});
console.log(response);
PUT /classic_example
{
"settings": {
"analysis": {
"analyzer": {
"classic_analyzer": {
"tokenizer": "classic",
"filter": [ "classic" ]
}
}
}
}
}