停用词分析器
编辑停用词分析器
编辑stop 分析器与 simple 分析器 相同，但增加了删除停用词的支持。它默认使用 _english_ 停用词。
示例输出
编辑resp = client.indices.analyze(
analyzer="stop",
text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
)
print(resp)
response = client.indices.analyze(
body: {
analyzer: 'stop',
text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
)
puts response
const response = await client.indices.analyze({
analyzer: "stop",
text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.",
});
console.log(response);
POST _analyze
{
"analyzer": "stop",
"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
[ quick, brown, foxes, jumped, over, lazy, dog, s, bone ]
配置
编辑stop 分析器接受以下参数
|
|
预定义的停用词列表，例如 |
|
|
包含停用词的文件的路径。此路径相对于 Elasticsearch |
有关停用词配置的更多信息，请参阅 停用词标记过滤器。
示例配置
编辑在此示例中，我们将 stop 分析器配置为使用指定的单词列表作为停用词
resp = client.indices.create(
index="my-index-000001",
settings={
"analysis": {
"analyzer": {
"my_stop_analyzer": {
"type": "stop",
"stopwords": [
"the",
"over"
]
}
}
}
},
)
print(resp)
resp1 = client.indices.analyze(
index="my-index-000001",
analyzer="my_stop_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_stop_analyzer: {
type: 'stop',
stopwords: [
'the',
'over'
]
}
}
}
}
}
)
puts response
response = client.indices.analyze(
index: 'my-index-000001',
body: {
analyzer: 'my_stop_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_stop_analyzer: {
type: "stop",
stopwords: ["the", "over"],
},
},
},
},
});
console.log(response);
const response1 = await client.indices.analyze({
index: "my-index-000001",
analyzer: "my_stop_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_stop_analyzer": {
"type": "stop",
"stopwords": ["the", "over"]
}
}
}
}
}
POST my-index-000001/_analyze
{
"analyzer": "my_stop_analyzer",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
上面的示例产生以下词项
[ quick, brown, foxes, jumped, lazy, dog, s, bone ]
定义
编辑它由以下部分组成
如果您需要自定义 stop 分析器超出配置参数的范围，则需要将其重新创建为 custom 分析器并对其进行修改，通常是通过添加标记过滤器。这将重新创建内置的 stop 分析器，您可以将其用作进一步自定义的起点
resp = client.indices.create(
index="stop_example",
settings={
"analysis": {
"filter": {
"english_stop": {
"type": "stop",
"stopwords": "_english_"
}
},
"analyzer": {
"rebuilt_stop": {
"tokenizer": "lowercase",
"filter": [
"english_stop"
]
}
}
}
},
)
print(resp)
response = client.indices.create(
index: 'stop_example',
body: {
settings: {
analysis: {
filter: {
english_stop: {
type: 'stop',
stopwords: '_english_'
}
},
analyzer: {
rebuilt_stop: {
tokenizer: 'lowercase',
filter: [
'english_stop'
]
}
}
}
}
}
)
puts response
const response = await client.indices.create({
index: "stop_example",
settings: {
analysis: {
filter: {
english_stop: {
type: "stop",
stopwords: "_english_",
},
},
analyzer: {
rebuilt_stop: {
tokenizer: "lowercase",
filter: ["english_stop"],
},
},
},
},
});
console.log(response);