Named Entity Extractor API

Named Entity Extractor API enables developers to quickly and accurately extract named entities such as people, organizations, locations, and dates from the text. With this API, entities can be used as input data for other features like query completion and spell-checking, making it a valuable tool for a variety of applications.

About the API: 

The Named Entity Extractor API is a powerful tool for automatically extracting and categorizing named entities from text. This includes entities such as people, organizations, locations, and dates. With this API, developers can quickly and easily extract named entities from a body of text, making it a valuable tool for a wide range of applications.

The API utilizes advanced NLP algorithms to accurately identify and categorize named entities, even in large amounts of text. The API output includes not only the entities themselves but also their respective categories, providing valuable information for further processing.

The extracted named entities can be used as input data for other features such as query completion, spell-checking, and more. Whether you're building a chatbot, an information retrieval system, or a content-based recommendation engine, the Named Entity Extractor API is the perfect solution for extracting and categorizing named entities.

With its fast, accurate, and easy-to-use API, the Named Entity Extractor API is the ideal tool for developers who want to add named entity extraction functionality to their applications. So why wait? Sign up today and start extracting named entities from your text with ease!

 

What this API receives and what your API provides (input/output)?

Pass the text that you want to analyze. Receive all the named entities recognized within it. 

 

What are the most common uses cases of this API?

  1. Information Retrieval: The API can be used to extract named entities from documents and categorize them for use in information retrieval systems.

  2. Chatbots: The API can be used to extract named entities from user inputs in chatbots to provide more accurate responses and personalized interactions.

  3. Content-Based Recommendation: The API can be used to extract named entities from articles and use them as input data for content-based recommendation systems.

  4. Sentiment Analysis: The API can be used to extract named entities from text and use them as input data for sentiment analysis, to identify the sentiment of specific entities.

  5. Event Extraction: The API can be used to extract named entities from news articles and use them to extract events and create event timelines.



Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations

API Documentation

Endpoints


Extract entities from the provided text.

 


                                                                            
POST https://zylalabs.com/api/1332/named+entity+extractor+api/1112/entity+extractor
                                                                            
                                                                        

Entity Extractor - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"result":{"PERSON":"Elon Musk","TERM":"South African-born American entrepreneur;Tesla Motors","DATE":"1999;2002;2003","ORG":"SpaceX;X.com;PayPal;Tesla Motors","NORP":"American;South African"},"model_used":"lingo(en)","time":"19.0ms"}
                                                                                                                                                                                                                    
                                                                                                    

Entity Extractor - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1332/named+entity+extractor+api/1112/entity+extractor' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "extractor": "en",
    "text": "Elon Musk is a South African-born American entrepreneur and businessman who founded X.com in 1999 (which later became PayPal), SpaceX in 2002 and Tesla Motors in 2003."
}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Named Entity Extractor API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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 Service Level
100%
 Response Time
947ms

Category:

NLP

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