npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@qrvey/text-analytics

v0.0.1

Published

A powerful text analytics library that provides easy integration with AWS Comprehend and Azure Text Analytics for language detection, sentiment analysis, entity recognition, and key phrase extraction.

Downloads

1,283

Readme

@qrvey/text-analytics

A powerful text analytics library that provides easy integration with AWS Comprehend and Azure Text Analytics for language detection, sentiment analysis, entity recognition, and key phrase extraction.

Require environment variables


AWS_DEFAULT_REGION; //AWS Region for SQS service
AWS_ACCESS_KEY_ID; //AWS Access key for Event Bridge service
AWS_SECRET_ACCESS_KEY; //AWS Secret key for Event Bridge service
PLATFORM_TYPE; //Platform type (possible value CONTAINER)
CLOUD_PROVIDER; // Cloud service. Possible values azure, aws

Table of Contents

Installation

You can install the @qrvey/text-analytics package via npm. Run the following command in your terminal:

npm install @qrvey/text-analytics

Usage

import TextAnalyticsServiceFactory from '@qrvey/text-analytics';

async function main() {
    const textAnalyticsService = await TextAnalyticsServiceFactory.createTextAnalyticsService();
    const language = await textAnalyticsService.detectLanguage('This is a sample text.');
    console.log(language);
}

API Documentation

textAnalyticsService

The TextAnalyticsService provides methods for text analysis.

detectLanguage

Detects the dominant language of the provided text.

Parameters:

text: A string containing the text to analyze.

Returns

A promise that resolves to an object implementing IDetectDominantLanguageOutput.

detectLanguage(text: string): Promise<IDetectEntityOutput>

interface IDetectDominantLanguageOutput {
    code: string;
    score: number;
}

detectEntities

Detects entities in the provided text.

Parameters:

text: A string containing the text to analyze.

Returns

A promise that resolves to an object implementing IDetectEntityOutput.

detectEntities(text: string): Promise<IDetectEntityOutput>;

interface IDetectEntityOutput {
    entities: Entity[];
}

detectSentiment

Analyzes the sentiment of the provided text.

Parameters:

text: A string containing the text to analyze.

Returns:

A promise that resolves to an object implementing IDetectSentimentOutput.

detectSentiment(text: string): Promise<IDetectSentimentOutput>;

interface IDetectSentimentOutput {
    sentiment: string;
    score: {
        negative: number;
        positive: number;
        neutral: number;
        mixed: number;
    };
}

detectKeyPhrases

Detects key phrases in the provided text.

Parameters:

text: A string containing the text to analyze.

Returns

A promise that resolves to an object implementing IKeyPhraseOutput.

detectKeyPhrases(text: string): Promise<IDetectKeyPhraseOutput>;

interface IDetectKeyPhraseOutput {
    keyPhrases: {
        text: string;
        score: number;
    }[]
}

textAnalysisComplete

Completes a full analysis of the provided text, including language detection, entity detection, sentiment analysis, and key phrase extraction.

Parameters:

text: A string containing the text to analyze.

Returns:

A promise that resolves to an object implementing ICompleteTextAnalysisOutput.

 textAnalysisComplete(text: string): Promise<ICompleteTextAnalysisOutput>;

interface ICompleteTextAnalysisOutput {
    language: IDetectDominantLanguageOutput;
    entities: IDetectEntityOutput;
    sentiment: IDetectSentimentOutput;
    keyPhrases: IKeyPhrase[];
}