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@aws-sdk/client-comprehend

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@aws-sdk/client-comprehend

AWS SDK for JavaScript Comprehend Client for Node.js, Browser and React Native

  • 3.687.0
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What is @aws-sdk/client-comprehend?

@aws-sdk/client-comprehend is an AWS SDK for JavaScript package that allows developers to interact with Amazon Comprehend, a natural language processing (NLP) service. This package provides functionalities for text analysis, including language detection, sentiment analysis, entity recognition, key phrase extraction, and topic modeling.

What are @aws-sdk/client-comprehend's main functionalities?

Language Detection

This feature allows you to detect the dominant language in a given text. The code sample demonstrates how to use the DetectDominantLanguageCommand to identify the language of the input text.

const { ComprehendClient, DetectDominantLanguageCommand } = require('@aws-sdk/client-comprehend');

const client = new ComprehendClient({ region: 'us-east-1' });
const params = { Text: 'Hello, how are you?' };
const command = new DetectDominantLanguageCommand(params);
client.send(command).then(response => console.log(response)).catch(error => console.error(error));

Sentiment Analysis

This feature allows you to analyze the sentiment of a given text, determining whether it is positive, negative, neutral, or mixed. The code sample shows how to use the DetectSentimentCommand to analyze the sentiment of the input text.

const { ComprehendClient, DetectSentimentCommand } = require('@aws-sdk/client-comprehend');

const client = new ComprehendClient({ region: 'us-east-1' });
const params = { Text: 'I am very happy today!', LanguageCode: 'en' };
const command = new DetectSentimentCommand(params);
client.send(command).then(response => console.log(response)).catch(error => console.error(error));

Entity Recognition

This feature allows you to identify entities such as people, places, and organizations in a given text. The code sample demonstrates how to use the DetectEntitiesCommand to recognize entities in the input text.

const { ComprehendClient, DetectEntitiesCommand } = require('@aws-sdk/client-comprehend');

const client = new ComprehendClient({ region: 'us-east-1' });
const params = { Text: 'Amazon Web Services is a subsidiary of Amazon.', LanguageCode: 'en' };
const command = new DetectEntitiesCommand(params);
client.send(command).then(response => console.log(response)).catch(error => console.error(error));

Key Phrase Extraction

This feature allows you to extract key phrases from a given text. The code sample shows how to use the DetectKeyPhrasesCommand to extract key phrases from the input text.

const { ComprehendClient, DetectKeyPhrasesCommand } = require('@aws-sdk/client-comprehend');

const client = new ComprehendClient({ region: 'us-east-1' });
const params = { Text: 'Machine learning is a fascinating field of study.', LanguageCode: 'en' };
const command = new DetectKeyPhrasesCommand(params);
client.send(command).then(response => console.log(response)).catch(error => console.error(error));

Topic Modeling

This feature allows you to identify topics in a collection of documents. The code sample demonstrates how to use the StartTopicsDetectionJobCommand to start a topic detection job with input and output data stored in Amazon S3.

const { ComprehendClient, StartTopicsDetectionJobCommand } = require('@aws-sdk/client-comprehend');

const client = new ComprehendClient({ region: 'us-east-1' });
const params = { InputDataConfig: { S3Uri: 's3://your-bucket/input-data' }, OutputDataConfig: { S3Uri: 's3://your-bucket/output-data' }, DataAccessRoleArn: 'arn:aws:iam::your-account-id:role/your-role', NumberOfTopics: 10 };
const command = new StartTopicsDetectionJobCommand(params);
client.send(command).then(response => console.log(response)).catch(error => console.error(error));

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Package last updated on 07 Nov 2024

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