Amazon Comprehend examples using SDK for Java 2.x
The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for Java 2.x with Amazon Comprehend.
Actions are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios.
Scenarios are code examples that show you how to accomplish specific tasks by calling multiple functions within a service or combined with other AWS services.
Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.
Actions
The following code example shows how to use CreateDocumentClassifier
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import software.amazon.awssdk.services.comprehend.model.CreateDocumentClassifierRequest; import software.amazon.awssdk.services.comprehend.model.CreateDocumentClassifierResponse; import software.amazon.awssdk.services.comprehend.model.DocumentClassifierInputDataConfig; /** * Before running this code example, you can setup the necessary resources, such * as the CSV file and IAM Roles, by following this document: * https://aws.amazon.com/blogs/machine-learning/building-a-custom-classifier-using-amazon-comprehend/ * * Also, set up your development environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DocumentClassifierDemo { public static void main(String[] args) { final String usage = """ Usage: <dataAccessRoleArn> <s3Uri> <documentClassifierName> Where: dataAccessRoleArn - The ARN value of the role used for this operation. s3Uri - The Amazon S3 bucket that contains the CSV file. documentClassifierName - The name of the document classifier. """; if (args.length != 3) { System.out.println(usage); System.exit(1); } String dataAccessRoleArn = args[0]; String s3Uri = args[1]; String documentClassifierName = args[2]; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); createDocumentClassifier(comClient, dataAccessRoleArn, s3Uri, documentClassifierName); comClient.close(); } public static void createDocumentClassifier(ComprehendClient comClient, String dataAccessRoleArn, String s3Uri, String documentClassifierName) { try { DocumentClassifierInputDataConfig config = DocumentClassifierInputDataConfig.builder() .s3Uri(s3Uri) .build(); CreateDocumentClassifierRequest createDocumentClassifierRequest = CreateDocumentClassifierRequest.builder() .documentClassifierName(documentClassifierName) .dataAccessRoleArn(dataAccessRoleArn) .languageCode("en") .inputDataConfig(config) .build(); CreateDocumentClassifierResponse createDocumentClassifierResult = comClient .createDocumentClassifier(createDocumentClassifierRequest); String documentClassifierArn = createDocumentClassifierResult.documentClassifierArn(); System.out.println("Document Classifier ARN: " + documentClassifierArn); } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see CreateDocumentClassifier in AWS SDK for Java 2.x API Reference.
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The following code example shows how to use DetectDominantLanguage
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageRequest; import software.amazon.awssdk.services.comprehend.model.DetectDominantLanguageResponse; import software.amazon.awssdk.services.comprehend.model.DominantLanguage; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectLanguage { public static void main(String[] args) { // Specify French text - "It is raining today in Seattle". String text = "Il pleut aujourd'hui à Seattle"; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); System.out.println("Calling DetectDominantLanguage"); detectTheDominantLanguage(comClient, text); comClient.close(); } public static void detectTheDominantLanguage(ComprehendClient comClient, String text) { try { DetectDominantLanguageRequest request = DetectDominantLanguageRequest.builder() .text(text) .build(); DetectDominantLanguageResponse resp = comClient.detectDominantLanguage(request); List<DominantLanguage> allLanList = resp.languages(); for (DominantLanguage lang : allLanList) { System.out.println("Language is " + lang.languageCode()); } } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see DetectDominantLanguage in AWS SDK for Java 2.x API Reference.
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The following code example shows how to use DetectEntities
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.DetectEntitiesRequest; import software.amazon.awssdk.services.comprehend.model.DetectEntitiesResponse; import software.amazon.awssdk.services.comprehend.model.Entity; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectEntities { public static void main(String[] args) { String text = "Amazon.com, Inc. is located in Seattle, WA and was founded July 5th, 1994 by Jeff Bezos, allowing customers to buy everything from books to blenders. Seattle is north of Portland and south of Vancouver, BC. Other notable Seattle - based companies are Starbucks and Boeing."; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); System.out.println("Calling DetectEntities"); detectAllEntities(comClient, text); comClient.close(); } public static void detectAllEntities(ComprehendClient comClient, String text) { try { DetectEntitiesRequest detectEntitiesRequest = DetectEntitiesRequest.builder() .text(text) .languageCode("en") .build(); DetectEntitiesResponse detectEntitiesResult = comClient.detectEntities(detectEntitiesRequest); List<Entity> entList = detectEntitiesResult.entities(); for (Entity entity : entList) { System.out.println("Entity text is " + entity.text()); } } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see DetectEntities in AWS SDK for Java 2.x API Reference.
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The following code example shows how to use DetectKeyPhrases
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.DetectKeyPhrasesRequest; import software.amazon.awssdk.services.comprehend.model.DetectKeyPhrasesResponse; import software.amazon.awssdk.services.comprehend.model.KeyPhrase; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectKeyPhrases { public static void main(String[] args) { String text = "Amazon.com, Inc. is located in Seattle, WA and was founded July 5th, 1994 by Jeff Bezos, allowing customers to buy everything from books to blenders. Seattle is north of Portland and south of Vancouver, BC. Other notable Seattle - based companies are Starbucks and Boeing."; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); System.out.println("Calling DetectKeyPhrases"); detectAllKeyPhrases(comClient, text); comClient.close(); } public static void detectAllKeyPhrases(ComprehendClient comClient, String text) { try { DetectKeyPhrasesRequest detectKeyPhrasesRequest = DetectKeyPhrasesRequest.builder() .text(text) .languageCode("en") .build(); DetectKeyPhrasesResponse detectKeyPhrasesResult = comClient.detectKeyPhrases(detectKeyPhrasesRequest); List<KeyPhrase> phraseList = detectKeyPhrasesResult.keyPhrases(); for (KeyPhrase keyPhrase : phraseList) { System.out.println("Key phrase text is " + keyPhrase.text()); } } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see DetectKeyPhrases in AWS SDK for Java 2.x API Reference.
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The following code example shows how to use DetectSentiment
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import software.amazon.awssdk.services.comprehend.model.DetectSentimentRequest; import software.amazon.awssdk.services.comprehend.model.DetectSentimentResponse; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectSentiment { public static void main(String[] args) { String text = "Amazon.com, Inc. is located in Seattle, WA and was founded July 5th, 1994 by Jeff Bezos, allowing customers to buy everything from books to blenders. Seattle is north of Portland and south of Vancouver, BC. Other notable Seattle - based companies are Starbucks and Boeing."; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); System.out.println("Calling DetectSentiment"); detectSentiments(comClient, text); comClient.close(); } public static void detectSentiments(ComprehendClient comClient, String text) { try { DetectSentimentRequest detectSentimentRequest = DetectSentimentRequest.builder() .text(text) .languageCode("en") .build(); DetectSentimentResponse detectSentimentResult = comClient.detectSentiment(detectSentimentRequest); System.out.println("The Neutral value is " + detectSentimentResult.sentimentScore().neutral()); } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see DetectSentiment in AWS SDK for Java 2.x API Reference.
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The following code example shows how to use DetectSyntax
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- SDK for Java 2.x
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.comprehend.ComprehendClient; import software.amazon.awssdk.services.comprehend.model.ComprehendException; import software.amazon.awssdk.services.comprehend.model.DetectSyntaxRequest; import software.amazon.awssdk.services.comprehend.model.DetectSyntaxResponse; import software.amazon.awssdk.services.comprehend.model.SyntaxToken; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectSyntax { public static void main(String[] args) { String text = "Amazon.com, Inc. is located in Seattle, WA and was founded July 5th, 1994 by Jeff Bezos, allowing customers to buy everything from books to blenders. Seattle is north of Portland and south of Vancouver, BC. Other notable Seattle - based companies are Starbucks and Boeing."; Region region = Region.US_EAST_1; ComprehendClient comClient = ComprehendClient.builder() .region(region) .build(); System.out.println("Calling DetectSyntax"); detectAllSyntax(comClient, text); comClient.close(); } public static void detectAllSyntax(ComprehendClient comClient, String text) { try { DetectSyntaxRequest detectSyntaxRequest = DetectSyntaxRequest.builder() .text(text) .languageCode("en") .build(); DetectSyntaxResponse detectSyntaxResult = comClient.detectSyntax(detectSyntaxRequest); List<SyntaxToken> syntaxTokens = detectSyntaxResult.syntaxTokens(); for (SyntaxToken token : syntaxTokens) { System.out.println("Language is " + token.text()); System.out.println("Part of speech is " + token.partOfSpeech().tagAsString()); } } catch (ComprehendException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
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For API details, see DetectSyntax in AWS SDK for Java 2.x API Reference.
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Scenarios
The following code example shows how to create a chatbot to engage your website visitors.
- SDK for Java 2.x
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Shows how to use the Amazon Lex API to create a Chatbot within a web application to engage your web site visitors.
For complete source code and instructions on how to set up and run, see the full example on GitHub
. Services used in this example
Amazon Comprehend
Amazon Lex
Amazon Translate
The following code example shows how to create a messaging application by using Amazon SQS.
- SDK for Java 2.x
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Shows how to use the Amazon SQS API to develop a Spring REST API that sends and retrieves messages.
For complete source code and instructions on how to set up and run, see the full example on GitHub
. Services used in this example
Amazon Comprehend
Amazon SQS
The following code example shows how to create an application that analyzes customer comment cards, translates them from their original language, determines their sentiment, and generates an audio file from the translated text.
- SDK for Java 2.x
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This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:
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Text is extracted from the image using Amazon Textract.
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Amazon Comprehend determines the sentiment of the extracted text and its language.
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The extracted text is translated to English using Amazon Translate.
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Amazon Polly synthesizes an audio file from the extracted text.
The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in GitHub
. Services used in this example
Amazon Comprehend
Lambda
Amazon Polly
Amazon Textract
Amazon Translate
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