@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class StartTargetedSentimentDetectionJobRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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StartTargetedSentimentDetectionJobRequest() |
Modifier and Type | Method and Description |
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StartTargetedSentimentDetectionJobRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
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boolean |
equals(Object obj) |
String |
getClientRequestToken()
A unique identifier for the request.
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String |
getDataAccessRoleArn()
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
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InputDataConfig |
getInputDataConfig() |
String |
getJobName()
The identifier of the job.
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String |
getLanguageCode()
The language of the input documents.
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OutputDataConfig |
getOutputDataConfig()
Specifies where to send the output files.
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List<Tag> |
getTags()
Tags to associate with the targeted sentiment detection job.
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String |
getVolumeKmsKeyId()
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job.
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VpcConfig |
getVpcConfig() |
int |
hashCode() |
void |
setClientRequestToken(String clientRequestToken)
A unique identifier for the request.
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void |
setDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
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void |
setInputDataConfig(InputDataConfig inputDataConfig) |
void |
setJobName(String jobName)
The identifier of the job.
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void |
setLanguageCode(String languageCode)
The language of the input documents.
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void |
setOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
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void |
setTags(Collection<Tag> tags)
Tags to associate with the targeted sentiment detection job.
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void |
setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job.
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void |
setVpcConfig(VpcConfig vpcConfig) |
String |
toString()
Returns a string representation of this object.
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StartTargetedSentimentDetectionJobRequest |
withClientRequestToken(String clientRequestToken)
A unique identifier for the request.
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StartTargetedSentimentDetectionJobRequest |
withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
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StartTargetedSentimentDetectionJobRequest |
withInputDataConfig(InputDataConfig inputDataConfig) |
StartTargetedSentimentDetectionJobRequest |
withJobName(String jobName)
The identifier of the job.
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StartTargetedSentimentDetectionJobRequest |
withLanguageCode(LanguageCode languageCode)
The language of the input documents.
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StartTargetedSentimentDetectionJobRequest |
withLanguageCode(String languageCode)
The language of the input documents.
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StartTargetedSentimentDetectionJobRequest |
withOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
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StartTargetedSentimentDetectionJobRequest |
withTags(Collection<Tag> tags)
Tags to associate with the targeted sentiment detection job.
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StartTargetedSentimentDetectionJobRequest |
withTags(Tag... tags)
Tags to associate with the targeted sentiment detection job.
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StartTargetedSentimentDetectionJobRequest |
withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job.
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StartTargetedSentimentDetectionJobRequest |
withVpcConfig(VpcConfig vpcConfig) |
addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public StartTargetedSentimentDetectionJobRequest()
public void setInputDataConfig(InputDataConfig inputDataConfig)
inputDataConfig
- public InputDataConfig getInputDataConfig()
public StartTargetedSentimentDetectionJobRequest withInputDataConfig(InputDataConfig inputDataConfig)
inputDataConfig
- public void setOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
outputDataConfig
- Specifies where to send the output files.public OutputDataConfig getOutputDataConfig()
Specifies where to send the output files.
public StartTargetedSentimentDetectionJobRequest withOutputDataConfig(OutputDataConfig outputDataConfig)
Specifies where to send the output files.
outputDataConfig
- Specifies where to send the output files.public void setDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input
data. For more information, see Role-based permissions.public String getDataAccessRoleArn()
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
public StartTargetedSentimentDetectionJobRequest withDataAccessRoleArn(String dataAccessRoleArn)
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
dataAccessRoleArn
- The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input
data. For more information, see Role-based permissions.public void setJobName(String jobName)
The identifier of the job.
jobName
- The identifier of the job.public String getJobName()
The identifier of the job.
public StartTargetedSentimentDetectionJobRequest withJobName(String jobName)
The identifier of the job.
jobName
- The identifier of the job.public void setLanguageCode(String languageCode)
The language of the input documents. Currently, English is the only supported language.
languageCode
- The language of the input documents. Currently, English is the only supported language.LanguageCode
public String getLanguageCode()
The language of the input documents. Currently, English is the only supported language.
LanguageCode
public StartTargetedSentimentDetectionJobRequest withLanguageCode(String languageCode)
The language of the input documents. Currently, English is the only supported language.
languageCode
- The language of the input documents. Currently, English is the only supported language.LanguageCode
public StartTargetedSentimentDetectionJobRequest withLanguageCode(LanguageCode languageCode)
The language of the input documents. Currently, English is the only supported language.
languageCode
- The language of the input documents. Currently, English is the only supported language.LanguageCode
public void setClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you don't set the client request token, Amazon Comprehend
generates one.public String getClientRequestToken()
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
public StartTargetedSentimentDetectionJobRequest withClientRequestToken(String clientRequestToken)
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
clientRequestToken
- A unique identifier for the request. If you don't set the client request token, Amazon Comprehend
generates one.public void setVolumeKmsKeyId(String volumeKmsKeyId)
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
volumeKmsKeyId
- ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML
compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following
formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public String getVolumeKmsKeyId()
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public StartTargetedSentimentDetectionJobRequest withVolumeKmsKeyId(String volumeKmsKeyId)
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
volumeKmsKeyId
- ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML
compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following
formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public void setVpcConfig(VpcConfig vpcConfig)
vpcConfig
- public VpcConfig getVpcConfig()
public StartTargetedSentimentDetectionJobRequest withVpcConfig(VpcConfig vpcConfig)
vpcConfig
- public List<Tag> getTags()
Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
public void setTags(Collection<Tag> tags)
Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
tags
- Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata
to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a
resource to indicate its use by the sales department.public StartTargetedSentimentDetectionJobRequest withTags(Tag... tags)
Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
NOTE: This method appends the values to the existing list (if any). Use
setTags(java.util.Collection)
or withTags(java.util.Collection)
if you want to override the
existing values.
tags
- Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata
to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a
resource to indicate its use by the sales department.public StartTargetedSentimentDetectionJobRequest withTags(Collection<Tag> tags)
Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
tags
- Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata
to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a
resource to indicate its use by the sales department.public String toString()
toString
in class Object
Object.toString()
public StartTargetedSentimentDetectionJobRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()