停止詞

stop 篩選器會從標記化文字中移除指定的停止詞,有助於剔除常見、意義較小的字詞。您可以使用stop_words 參數設定停止詞清單。

設定

stop 篩選器是 Milvus 的自訂篩選器。要使用它,請在篩選器設定中指定"type": "stop" ,以及提供停用字清單的stop_words 參數。

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
    }],
}
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_"));
                }}
        )
);
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
    }],
};
analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type":       "stop",
        "stop_words": []string{"of", "to", "_english_"},
    }}}
# restful
analyzerParams='{
  "tokenizer": "standard",
  "filter": [
    {
      "type": "stop",
      "stop_words": [
        "of",
        "to",
        "_english_"
      ]
    }
  ]
}'

stop 過濾器接受下列可設定的參數。

參數

說明

stop_words

要從 tokenization 中移除的單字清單。預設情況下,篩選器使用內建的_english_ 字典。您可以用三種方式覆寫或擴充它:

  • 內建字典- 提供其中一個語言別名,以使用預先定義的字典:"_english_","_danish_","_dutch_","_finnish_","_french_","_german_","_hungarian_","_italian_","_norwegian_","_portuguese_","_russian_","_spanish_""_swedish_"

  • 自訂列表- 傳送您自己的術語陣列,例如["foo", "bar", "baz"]

  • 混合列表- 結合別名和自訂術語,例如:["of", "to", "_english_"]

    有關每個預定義字典的確切內容,請參閱stop_words

stop 過濾器會對 tokenizer 產生的詞彙進行操作,因此必須與 tokenizer 結合使用。如需 Milvus 中可用的標記器清單,請參閱標準標記器及其同屬頁面。

定義analyzer_params 之後,您可以在定義集合模式時,將它們套用到VARCHAR 欄位。這允許 Milvus 使用指定的分析器來處理該欄位中的文字,以進行有效的標記化和過濾。詳情請參閱範例使用

範例

在應用分析器配置到您的收集模式之前,請使用run_analyzer 方法驗證其行為。

分析器配置

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
    }],
}
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_"));
                }}
        )
);
// javascript
analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type":       "stop",
        "stop_words": []string{"of", "to", "_english_"},
    }}}
# restful

驗證使用run_analyzerCompatible with Milvus 2.5.11+

from pymilvus import (
    MilvusClient,
)

client = MilvusClient(uri="http://localhost:19530")

# 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)
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("http://localhost:19530")
        .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();
// javascript
import (
    "context"
    "encoding/json"
    "fmt"

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

client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
    Address: "localhost:19530",
    APIKey:  "root:Milvus",
})
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
}
# restful

預期輸出

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

免費嘗試托管的 Milvus

Zilliz Cloud 無縫接入,由 Milvus 提供動力,速度提升 10 倍。

開始使用
反饋

這個頁面有幫助嗎?