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.
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.
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.
You are now ready to process text into Eden AI NER API. You can access the list of languages supported in our documentation here.
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.
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:
Using Named Entity Recognition with Eden AI API is quick and easy.
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.
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.
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.