Text Correlation API

Text Correlation API

Text Correlation API: Harness advanced NLP to measure and understand similarities between texts, facilitating improved content analysis, recommendation systems, and more.

About the API:  

In the vast digital information landscape, the ability to measure and understand text similarity is crucial for various applications such as content recommendation, information retrieval and plagiarism detection. The Text Correlation API emerges as a powerful tool that leverages advanced natural language processing (NLP) algorithms to quantify the similarity between two or more text fragments. This API integrates seamlessly into applications, search engines and content management systems, providing valuable information about the relationships between content.

The Text Correlation API employs sophisticated semantic analysis to go beyond simple lexical matching. It evaluates the meaning and context of words and phrases, enabling a more accurate measurement of text similarity.

Users can use the API to compare entire texts or paragraphs, providing a holistic view of textual similarity. This feature is valuable for applications that require detailed content analysis, such as clustering documents or identifying related articles.

Search engines can benefit from the API's ability to analyze and quantify textual similarity. This ensures more accurate and relevant search results, improving the user experience in information retrieval scenarios.

The API supports data clustering by identifying similarities between texts, which facilitates the categorization of content into relevant groups. This is especially useful for organizing large data sets and improving their management.

The Text Correlation API is a game-changer in the content analytics arena, providing a nuanced understanding of textual relationships. Whether it's improving search engine functionality, boosting content recommender systems or ensuring academic integrity through plagiarism detection, this API provides users with advanced tools for textual similarity assessment. As the digital landscape continues to evolve, the Text Correlation API emerges as a reliable and indispensable asset for those seeking to unlock deeper insights from their textual data.


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

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Content Recommendation Engines: Enhance content recommendation systems by using the Text Similarity API to identify and suggest content with similar themes or topics.

    Plagiarism Detection in Education: Implement the API to detect similarities between submitted content and existing databases, ensuring academic integrity and preventing plagiarism.

    Search Engine Optimization (SEO): Improve search engine results by leveraging the API to measure the similarity between user queries and available content, providing more accurate and relevant results.

    Document Comparison in Legal Research: Facilitate legal research by comparing legal documents or case studies, helping legal professionals identify relevant precedents and analyze text similarities.

    Customer Support Ticket Routing: Streamline customer support processes by using the API to categorize and prioritize support tickets based on the similarity of user queries, ensuring efficient ticket routing.

 

Are there any limitations to your plans?

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

API Documentation

Endpoints


To use this endpoint you must indicate two texts in the parameters.



                                                                            
GET https://www.zylalabs.com/api/2922/text+correlation+api/3051/similarity
                                                                            
                                                                        

Similarity - Endpoint Features
Object Description
text1 [Required]
text2 [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"similarity":0.011073541364398191,"value":2214.7082728796386,"version":"7.5.7","author":"twinword inc.","email":"[email protected]","result_code":"200","result_msg":"Success"}
                                                                                                                                                                                                                    
                                                                                                    

Similarity - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2922/text+correlation+api/3051/similarity?text1=The two best runners are here&text2=The two best players in soccer are gone' --header 'Authorization: Bearer YOUR_API_KEY' 

    

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 Text Correlation 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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To use this API the user must indicate two texts to analyze the similarity.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

The Text Correlation API is an advanced natural language processing (NLP) tool designed to measure and quantify the correlation between different pieces of text.

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 Service Level
100%
 Response Time
275ms

Category:

NLP

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