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!
Pass the text that you want to analyze. Receive all the named entities recognized within it.
Information Retrieval: The API can be used to extract named entities from documents and categorize them for use in information retrieval systems.
Chatbots: The API can be used to extract named entities from user inputs in chatbots to provide more accurate responses and personalized interactions.
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.
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.
Event Extraction: The API can be used to extract named entities from news articles and use them to extract events and create event timelines.
Besides the number of API calls, there are no other limitations
Extract entities from the provided text.
Entity Extractor - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"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"}
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."
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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