How to Do Entity Sentiment Analysis Using JavaScript

In this guide, we’ll walk you through performing entity sentiment analysis using JavaScript. Learn how to extract insights from text, analyze sentiment related to specific entities, and enhance your natural language processing workflows.

This tutorial covers essential techniques to integrate entity sentiment analysis into your JavaScript projects, helping you accurately evaluate sentiment tied to entities and boost your text analysis capabilities.

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What is Entity Sentiment Analysis?

Entity Sentiment Analysis is a natural language processing (NLP) technique that identifies entities (such as people, brands, locations, or products) in a text and determines the sentiment associated with each entity.

Unlike general sentiment analysis, which evaluates the overall tone, this method provides deeper insights by determining whether the sentiment towards each entity is positive, negative, or neutral.

This helps businesses gain more precise understanding of how individual entities are perceived.

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How to analyze Entity Sentiment?

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Set Up Your Eden AI Account

1. Sign up: To begin, you need to create an Eden AI account. Head to Eden AI and sign up for a free account. Once you're signed up, navigate to the API Keys section to get your API key, which will be used to authenticate your requests.

2. Access Text Processing Technologies: After logging in, navigate to the text processing section.

3. Select Entity Sentiment Analysis: Choose the Entity Sentiment Analysis feature.

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Implementing Entity Sentiment Analysis in JavaScript

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Install JavaScript’s Axios Module

‍ To interact with the Eden AI API, you’ll need a library to handle HTTP requests. We’ll use Axios, a popular HTTP client for JavaScript. Install it using npm:

npm install axios

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Prepare the Code

Below is a code example that demonstrates how to perform Entity Sentiment Analysis using JavaScript and the Eden AI API.

    
const axios = require("axios").default;

const options = {
  method: "POST",
  url: "https://api.edenai.run/v2/text/entity_sentiment",
  headers: {
    authorization: "Bearer YOUR_SECURE_API_KEY",
  },
  data: {
    providers: "amazon",
    text: "Barack Hussein Obama is an American politician who served as the 44th president of the United States...",
    language: "en",
  },
};

axios
  .request(options)
  .then((response) => console.log(response.data))
  .catch((error) => console.error(error));
    
  

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• ‍Authentication: The API key is provided in the Authorization header to authenticate your request.
  
• API Endpoint: The url field specifies the endpoint of Eden AI’s entity sentiment analysis service.
  
• Payload: The data object contains the input parameters for the API. This includes the text you want to analyze and the sentiment provider (Amazon in this case).
  
• Axios Request: The request is sent using Axios, and the response is handled in a .then() block. Any errors are captured in the .catch() block.

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Interpreting the Results

Example Output:

{
  "amazon": {
    "items": [
      {
        "text": "Barack Hussein Obama",
        "sentiment": "positive",
        "type": "PERSON"
      },
      {
        "text": "United States",
        "sentiment": "neutral",
        "type": "LOCATION"
      }
    ]
  }
}

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• Text: The entity extracted from the text (e.g., "Barack Hussein Obama").
• Sentiment: The sentiment associated with the entity (e.g., "positive", "neutral").
• Type: The category of the entity (e.g., "PERSON", "LOCATION").

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Why choose Eden AI for Entity Sentiment Analysis

Multi-Provider Support

Access top-tier NLP providers like Google, IBM, and Amazon through a single API, streamlining integration of advanced language processing capabilities into your applications.

Easy Integration

The simple API structure ensures quick and easy implementation, allowing you to seamlessly integrate powerful features into your system with minimal effort and setup.

Scalability

Perfect for both small projects and large-scale applications, offering scalable performance to meet diverse needs.

Flexible Pricing

Provides flexible pricing options with free credits to get started and pay-as-you-go plans that allow you to only pay for what you use, ensuring cost efficiency and scalability as your needs evolve.

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Conclusion

In this guide, we walked you through the process of performing Entity Sentiment Analysis using JavaScript and Eden AI’s API.

With just a few lines of code, you can analyze sentiment tied to specific entities in your text data, unlocking valuable insights for brand monitoring, customer feedback analysis, and much more.

Sign up for Eden AI today and start enhancing your applications with advanced NLP capabilities!