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@aws-sdk/client-comprehend
Advanced tools
@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.
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));
The 'natural' package is a general natural language processing (NLP) library for JavaScript. It provides functionalities such as tokenization, stemming, classification, and more. Unlike @aws-sdk/client-comprehend, which is a cloud-based service, 'natural' is a local library that does not require internet access or an AWS account.
The 'compromise' package is a lightweight NLP library for JavaScript. It offers features like part-of-speech tagging, named entity recognition, and text normalization. While it provides some similar functionalities to @aws-sdk/client-comprehend, it operates entirely on the client side and does not offer the same level of scalability or integration with other AWS services.
The 'wink-nlp' package is a fast and accurate NLP library for JavaScript. It includes features such as tokenization, named entity recognition, sentiment analysis, and more. Unlike @aws-sdk/client-comprehend, 'wink-nlp' is designed for local processing and does not require cloud infrastructure, making it suitable for applications where data privacy is a concern.
FAQs
AWS SDK for JavaScript Comprehend Client for Node.js, Browser and React Native
The npm package @aws-sdk/client-comprehend receives a total of 231,549 weekly downloads. As such, @aws-sdk/client-comprehend popularity was classified as popular.
We found that @aws-sdk/client-comprehend demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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