事件偵測的非同步分析

若要偵測文件集中的事件，請使StartEventsDetectionJob用啟動非同步工作。

開始之前

在開始之前，請確保您擁有：

• 輸入和輸出儲存貯體 — 識別要用於輸入和輸出的 Amazon S3 儲存貯體。值區必須與您呼叫的 API 位於相同的區域。

• IAM 服務角色 — 您必須擁有具有存取輸入和輸出值區之權限的 IAM 服務角色。如需詳細資訊，請參閱 非同步作業所需的角色型權限。

使用偵測事件 AWS CLI

下面的實例演示了使用StartEventsDetectionJob操作與 AWS CLI

此範例格式適用於 Unix、Linux 和 macOS。用於 Windows 時，請以插入號 (^) 取代每一行結尾處的 Unix 接續字元斜線 (\)。

aws comprehend start-events-detection-job \
  --region region \
  --job-name job name \
  --cli-input-json file://path to JSON input file

對於cli-input-json參數，您為包含請求資料的 JSON 檔案提供路徑，如下列範例所示。

{
  "InputDataConfig": {
      "S3Uri": "s3://input bucket/input path",
      "InputFormat": "ONE_DOC_PER_LINE"
  },
  "OutputDataConfig": {
      "S3Uri": "s3://output bucket/output path"
  },
  "DataAccessRoleArn": "arn:aws:iam::account ID:role/data access role"
  "LanguageCode": "en",
  "TargetEventTypes": [
      "BANKRUPTCY",
      "EMPLOYMENT",
      "CORPORATE_ACQUISITION",
      "INVESTMENT_GENERAL",
      "CORPORATE_MERGER",
      "IPO",
      "RIGHTS_ISSUE",
      "SECONDARY_OFFERING",
      "SHELF_OFFERING",
      "TENDER_OFFERING",
      "STOCK_SPLIT"
  ]
}

如果啟動事件偵測工作的要求成功，您將會收到下列回應：

{
  "JobStatus": "SUBMITTED",
  "JobId": "job ID"
}

使用列出事件 AWS CLI

使用此ListEventsDetectionJobs作業可查看您已提交的事件偵測工作清單。此清單包含您使用的輸入和輸出位置以及每個偵測工作狀態的相關資訊。此範例格式適用於 Unix、Linux 和 macOS。用於 Windows 時，請以插入號 (^) 取代每一行結尾處的 Unix 接續字元斜線 (\)。

aws comprehend list-events-detection-jobs --region region 

您將獲得類似於以下內容的 JSON 作為回應：

{
 "EventsDetectionJobPropertiesList": [
    {
       "DataAccessRoleArn": "arn:aws:iam::account ID:role/data access role",
       "EndTime": timestamp,
       "InputDataConfig": {
          "InputFormat": "ONE_DOC_PER_LINE",
          "S3Uri": "s3://input bucket/input path"
       },
       "JobId": "job ID",
       "JobName": "job name",
       "JobStatus": "COMPLETED",
       "LanguageCode": "en",
       "Message": "message",
       "OutputDataConfig": {
          "S3Uri": "s3://output bucket/ouput path"
       },
       "SubmitTime": timestamp,
       "TargetEventTypes": [
         "BANKRUPTCY",
         "EMPLOYMENT",
         "CORPORATE_ACQUISITION",
         "INVESTMENT_GENERAL",
         "CORPORATE_MERGER",
         "IPO",
         "RIGHTS_ISSUE",
         "SECONDARY_OFFERING",
         "SHELF_OFFERING",
         "TENDER_OFFERING",
         "STOCK_SPLIT"
  ]
    }
 ],
 "NextToken": "next token"
}         

使用描述事件 AWS CLI

您可以使用此DescribeEventsDetectionJob作業來取得現有工作的狀態。此範例格式適用於 Unix、Linux 和 macOS。用於 Windows 時，請以插入號 (^) 取代每一行結尾處的 Unix 接續字元斜線 (\)。

aws comprehend describe-events-detection-job \
  --region region \
  --job-id job ID
        

您將獲得以下 JSON 作為響應：

{
 "EventsDetectionJobProperties": {
    "DataAccessRoleArn": "arn:aws:iam::account ID:role/data access role",
    "EndTime": timestamp,
    "InputDataConfig": {
       "InputFormat": "ONE_DOC_PER_LINE",
       "S3Uri": "S3Uri": "s3://input bucket/input path"
    },
    "JobId": "job ID",
    "JobName": "job name",
    "JobStatus": "job status",
    "LanguageCode": "en",
    "Message": "message",
    "OutputDataConfig": {
       "S3Uri": "s3://output bucket/output path"
    },
    "SubmitTime": timestamp,
    "TargetEventTypes": [
      "BANKRUPTCY",
      "EMPLOYMENT",
      "CORPORATE_ACQUISITION",
      "INVESTMENT_GENERAL",
      "CORPORATE_MERGER",
      "IPO",
      "RIGHTS_ISSUE",
      "SECONDARY_OFFERING",
      "SHELF_OFFERING",
      "TENDER_OFFERING",
      "STOCK_SPLIT"
  ]
 }
}       

取得事件偵測結果

以下是分析工作中偵測到文件中事件的輸出檔案範例。輸入的格式是每行一個文檔。

{"Entities": [{"Mentions": [{"BeginOffset": 12, "EndOffset": 27, "GroupScore": 1.0, "Score": 0.916355, "Text": "over a year ago", "Type": "DATE"}]}, {"Mentions": [{"BeginOffset": 33, "EndOffset": 39, "GroupScore": 1.0, "Score": 0.996603, "Text": "Amazon", "Type": "ORGANIZATION"}]}, {"Mentions": [{"BeginOffset": 66, "EndOffset": 77, "GroupScore": 1.0, "Score": 0.999283, "Text": "Whole Foods", "Type": "ORGANIZATION"}]}], "Events": [{"Arguments": [{"EntityIndex": 2, "Role": "INVESTEE", "Score": 0.999283}, {"EntityIndex": 0, "Role": "DATE", "Score": 0.916355}, {"EntityIndex": 1, "Role": "INVESTOR", "Score": 0.996603}], "Triggers": [{"BeginOffset": 373, "EndOffset": 380, "GroupScore": 0.999984, "Score": 0.999955, "Text": "acquire", "Type": "CORPORATE_ACQUISITION"}], "Type": "CORPORATE_ACQUISITION"}, {"Arguments": [{"EntityIndex": 2, "Role": "PARTICIPANT", "Score": 0.999283}], "Triggers": [{"BeginOffset": 115, "EndOffset": 123, "GroupScore": 1.0, "Score": 0.999967, "Text": "combined", "Type": "CORPORATE_MERGER"}], "Type": "CORPORATE_MERGER"}], "File": "doc.txt", "Line": 0}
  

如需有關事件輸出檔案結構和支援的事件類型的詳細資訊，請參閱事件。