Content Association API

Content Association API

Content Association API: Utilize cutting-edge NLP capabilities to gauge and interpret resemblances among texts, enabling enhanced content scrutiny, recommendation algorithms, and beyond.

About the API:  

Amidst the vast digital world of information, measuring and understanding text similarity is a critical need in various applications such as content recommendation, information retrieval and plagiarism detection. The Content Association API is a robust solution that uses advanced natural language processing (NLP) algorithms to accurately quantify the similarity between various text fragments. Seamlessly integrated into applications, search engines and content management systems, this API provides valuable information about the relationships between content.

The Content Association API is distinguished by its skillful use of sophisticated semantic analysis that goes beyond mere lexical matching, delving into the essence and context of words and phrases for a more accurate assessment of textual similarity.

By allowing users to compare entire texts or paragraphs, the API provides a comprehensive view of textual similarity, essential for applications that require complex content analysis, such as document clustering or identification of related articles.

At the search engine level, the API's ability to analyze and quantify textual similarity ensures more accurate and relevant search results, thus improving the user's information retrieval experience.

In addition, by identifying similarities between texts, the API facilitates data clustering, streamlining the categorization of content into relevant groups and improving the overall efficiency of data management.

The Content Association API heralds a new era in content analysis, providing a nuanced view of textual relationships. Whether it's improving search engine functionality, strengthening content recommendation systems or maintaining academic integrity by detecting plagiarism, this API equips users with advanced tools for textual similarity assessment. As the digital landscape evolves, the Content Association API stands as an indispensable ally for unlocking deeper insights from textual data, reliably guiding users toward informed decision making and enhanced user experiences.

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


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


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


                                                                                                                                                                                                                            {"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 ' morning&text2=Good bye' --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 Content Association API REST API, simply include your bearer token in the Authorization header.


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.

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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 Content Association 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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