How to use Named Entity Recognition (NER) API with Javascript?
Tutorial

How to use Named Entity Recognition (NER) API with Javascript?

In this tutorial, you will learn how to use Named Entity Recognition (NER) API in 5 minutes using JavaScript. Eden AI provides an easy and developer-friendly API that allows you to detect named entities in texts.

What is Named Entity Recognition (NER)?

Named Entity Recognition (NER) is a subtask of Natural Language Processing (NLP) that aims to identify and classify named entities in text into predefined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

Keyword Extraction API result on Eden AI

This process helps to extract structured information from unstructured text, making it easy to understand and analyze the content. Named Entity Recognition can be used in various cases, such as sentiment analysis, information retrieval, and text summarization to extract relevant information.

Get Started with NER API using JavaScript

The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.

How to use NER API with JavaScript

You are now ready to process text into Eden AI NER API. You can access the list of languages supported in our documentation here.

1. Get your NER API Key on Eden AI

To perform NER, you'll need to create an account on Eden AI for free. Then, you'll be able to get your API key directly from the homepage with free credits offered by Eden AI.

Eden AI - Get your API key for FREE

2. Let’s Detect Named Entities (NER) in Text

Now that you have imported packages on JavaScript and got your API key, you will be able to detect named entities in your text. With Eden AI, you can choose from a wide range of engines you want for NER. You can access the list of NER providers available on Eden AI directly on our documentation.

For example, we called two different NER engines. Here is the JS code to configure the request:

Then, you'll need to launch the request and print the result:

Here is an example of a NER API response:

Benefits of using NER API with Eden AI

Using Named Entity Recognition with Eden AI API is quick and easy.

Multiple AI engines in one API

Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.

Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.

Customization

With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your NER request with specific parameters, check out our documentation.

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