Stop

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stop 过滤器删除分词文本中的指定停用词，帮助消除常见且意义不大的词。您可以使用 stop_words 参数配置停用词列表。

配置

stop 过滤器是 Zilliz Cloud 中的自定义过滤器，通过在过滤器配置中设置 "type": "stop" 来指定。

Python

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "stop", # Specifies the filter type as stop
        "stop_words": ["of", "to", "_english_"], # Defines custom stop words and includes the English stop word list
    }],
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(
                new HashMap<String, Object>() {{
                    put("type", "stop");
                    put("stop_words", Arrays.asList("of", "to", "_english_"));
                }}
        )
);

NodeJS

const analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "stop", # Specifies the filter type as stop
        "stop_words": ["of", "to", "_english_"], # Defines custom stop words and includes the English stop word list
    }],
};

Go

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type":       "stop",
        "stop_words": []string{"of", "to", "_english_"},
    }}}

cURL

# restful
analyzerParams='{
  "tokenizer": "standard",
  "filter": [
    {
      "type": "stop",
      "stop_words": [
        "of",
        "to",
        "_english_"
      ]
    }
  ]
}'

stop 过滤器接受以下可选参数。

参数	描述
stop_words	要从分词中移除的单词列表。默认情况下，使用预定义的 english 列表，其中包含常见的英语停用词。有关 english 的详细信息，请查看这里。

stop 过滤器作用于分词器生成的词项，因此必须与分词器结合使用。有关 Zilliz Cloud 中可用的分词器列表，请参阅分词器参考。

定义 analyzer_params 后，您可以在定义 Collection Schema 时将其应用于 VARCHAR 字段。这使得 Zilliz Cloud 能够使用指定的分析器处理该字段中的文本，以实现高效的分词和过滤。更多信息，请参阅使用示例。

使用示例

在完成 Analyzer 配置后，您可以使用 run_analyzer 方法来验证分词效果是否符合预期。

Analyzer 配置

Python

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "stop", # Specifies the filter type as stop
        "stop_words": ["of", "to", "_english_"], # Defines custom stop words and includes the English stop word list
    }],
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(
                new HashMap<String, Object>() {{
                    put("type", "stop");
                    put("stop_words", Arrays.asList("of", "to", "_english_"));
                }}
        )
);

NodeJS

// javascript

Go

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type":       "stop",
        "stop_words": []string{"of", "to", "_english_"},
    }}}

cURL

# restful

使用 run_analyzer 验证效果

Python

from pymilvus import (
    MilvusClient,
)

client = MilvusClient(uri="YOUR_CLUSTER_ENDPOINT")

# Sample text to analyze
sample_text = "The stop filter allows control over common stop words for text processing."

# Run the standard analyzer with the defined configuration
result = client.run_analyzer(sample_text, analyzer_params)
print("Standard analyzer output:", result)

Java

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.vector.request.RunAnalyzerReq;
import io.milvus.v2.service.vector.response.RunAnalyzerResp;

ConnectConfig config = ConnectConfig.builder()
        .uri("YOUR_CLUSTER_ENDPOINT")
        .build();
MilvusClientV2 client = new MilvusClientV2(config);

List<String> texts = new ArrayList<>();
texts.add("The stop filter allows control over common stop words for text processing.");

RunAnalyzerResp resp = client.runAnalyzer(RunAnalyzerReq.builder()
        .texts(texts)
        .analyzerParams(analyzerParams)
        .build());
List<RunAnalyzerResp.AnalyzerResult> results = resp.getResults();

NodeJS

// javascript

Go

import (
    "context"
    "encoding/json"
    "fmt"

    "github.com/milvus-io/milvus/client/v2/milvusclient"
)

client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
    Address: "localhost:19530",
    APIKey:  "YOUR_CLUSTER_TOKEN",
})
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

bs, _ := json.Marshal(analyzerParams)
texts := []string{"The stop filter allows control over common stop words for text processing."}
option := milvusclient.NewRunAnalyzerOption(texts).
    WithAnalyzerParams(string(bs))

result, err := client.RunAnalyzer(ctx, option)
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

cURL

# restful

预期结果

['The', 'stop', 'filter', 'allows', 'control', 'over', 'common', 'stop', 'words', 'text', 'processing']