Hate Speech Detection API

Hate Speech Detection API

Hate Speech Detection API: Promote respect and inclusivity in digital environments through the rapid identification and filtering of offensive language

API description

About the API:  

In the age of digital communication, the exchange of text-based content has become an integral part of our daily interactions. While it is undeniable that this medium has improved communication and connectivity, it has also exposed users to the possibility of encountering offensive, harmful or inappropriate content. The Hate Speech Detection API emerges as an indispensable tool to address this challenge, enabling real-time evaluation and filtering of text content to create safe and inclusive digital spaces.

The Hate Speech Detection API is a robust software service designed to evaluate text data and identify the presence of offensive or inappropriate content. Leveraging advanced natural language processing (NLP) techniques and machine learning algorithms, it evaluates the offensive potential of a text and provides a rating or score that enables organizations and individuals to maintain a respectful and safe digital environment.

Essentially, this API provides real-time content evaluation, facilitating rapid recognition of offensive or harmful language. Whether integrated into chat applications, social networking platforms or content moderation systems, the API functions as an effective filter ensuring that offensive content is flagged and quickly resolved.

The Hate Speech Detection API plays a key role in creating safe and inclusive digital environments. By leveraging advanced natural language processing and machine learning capabilities, it equips organizations and individuals with the means to proactively detect and address offensive content in real time. In a digital landscape where respectful and safe interactions are of paramount importance, this API proves to be an indispensable asset for social media platforms, chat applications, content providers and many others. By addressing ethical considerations of data privacy and bias mitigation, it stands as a strong advocate for digital security and inclusion.

 

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

This API will help you with the immediate detection of offensive words.

 

What are the most common uses cases of this API?

  1. Social media monitoring: Automatically filter and remove offensive language and content from users' social media posts and comments.

  2. Chat and messaging security: Ensure a safe and courteous environment in chat rooms and messaging applications by detecting and filtering offensive language in real time.

  3. Comment control: Streamline moderation of user-generated comments on websites, blogs and forums to prevent the posting of offensive or harmful content.

  4. Brand image protection: Protect your brand's reputation by monitoring and addressing offensive content or mentions of your products or services on the Internet.

  5. Gaming community integrity: Keep online gaming communities free of offensive language and behavior, improving the overall gaming experience.

Are there any limitations to your plans?

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

API Documentation

Endpoints


To use this endpoint you must specify a word or text in the parameter.



                                                                            
GET https://zylalabs.com/api/2823/hate+speech+detection+api/2934/detect+hate+text
                                                                            
                                                                        

Detect hate text - Endpoint Features
Object Description
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            ["Offensive text"]
                                                                                                                                                                                                                    
                                                                                                    

Detect hate text - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2823/hate+speech+detection+api/2934/detect+hate+text' --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 Hate Speech Detection 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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The Hate Speech Detection API is an application programming interface designed to analyze and categorize text content to determine if it contains offensive or inappropriate language.

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.

Sure, you can use it and pay only when you use it. The credit can’t be expired.

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.

To use this API you must specify a word or text.

Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.

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Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.

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 Service Level
100%
 Response Time
891ms

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