Text Similarity Engine API

Leverage advanced NLP to analyze and compare text similarities, enhancing content analysis, recommendation systems, and other applications.

About the API:  

In today’s vast digital landscape, understanding text similarity is essential for various applications like content recommendation, information retrieval, and plagiarism detection. The Text Similarity Engine API stands out as a robust tool that uses advanced natural language processing (NLP) algorithms to assess the similarity between two or more text fragments. It integrates smoothly into applications, search engines, and content management systems, offering valuable insights into the relationships between content.

This API goes beyond simple lexical matching by utilizing sophisticated semantic analysis. It evaluates the meaning and context of words and phrases, providing a more accurate measure of text similarity.

With the ability to compare entire texts or paragraphs, the API offers a comprehensive view of textual similarity, which is crucial for applications such as document clustering or identifying related articles.

Search engines benefit from the API’s ability to analyze and quantify text similarity, resulting in more relevant and accurate search results and enhancing the user experience in information retrieval.

Additionally, the API supports data clustering, enabling the identification of similarities between texts to categorize content effectively. This is especially useful for managing large datasets and improving content organization.

The Text Similarity Engine API is a transformative tool in content analytics, offering deeper insights into textual relationships. Whether enhancing search engine performance, optimizing recommendation systems, or ensuring academic integrity through plagiarism detection, this API equips users with powerful tools for assessing text similarity. As the digital landscape evolves, the Text Similarity Engine API remains a vital resource for unlocking deeper insights from textual data.

 

API Documentation

Endpoints


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



                                                                            
GET https://zylalabs.com/api/6280/text+similarity+engine+api/8877/similarity
                                                                            
                                                                        

Similarity - Endpoint Features

Object Description
text1 [Required]
text2 [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Example Response":"No response example available for now."}
                                                                                                                                                                                                                    
                                                                                                    

Similarity - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/6280/text+similarity+engine+api/8877/similarity?text1=Hello world&text2=Hi world' --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 Similarity Engine 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 Similarity Engine API is an advanced natural language processing (NLP) tool designed to measure and quantify the correlation between different pieces of text.

The Similarity endpoint returns a JSON object containing the similarity score between the two input texts, a numerical value representing the correlation, and metadata such as the API version and author information.

Key fields in the response include "similarity" (the similarity score), "value" (a numerical representation of the correlation), "version" (API version), "author" (the API provider), and "result_code" and "result_msg" (status of the request).

The Similarity endpoint requires two parameters: the first text and the second text to compare. Users must provide these texts in the request to receive a similarity analysis.

The response data is organized in a JSON format, with key-value pairs that clearly delineate the similarity score, correlation value, and metadata, making it easy to parse and utilize in applications.

The Similarity endpoint provides information on the degree of similarity between two texts, which can be used for applications like content recommendation, plagiarism detection, and document comparison.

Users can utilize the returned similarity score to assess how closely related two texts are, enabling features like content clustering, improved search results, or identifying potential plagiarism in submitted work.

Data accuracy is maintained through advanced NLP algorithms that analyze semantic meaning and context, ensuring that the similarity measurements reflect true textual relationships rather than mere lexical matching.

Typical use cases include enhancing content recommendation systems, detecting plagiarism in educational submissions, improving search engine results, and categorizing customer support tickets based on query similarity.

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