Verbal Abuse Detection API

The Verbal Abuse Detection API swiftly identifies and mitigates online hate speech, safeguarding digital spaces and fostering a positive online environment.

About the API:  

The Verbal Abuse Detection API is a vital tool in the field of content moderation, addressing the pervasive problem of hate speech online. As digital platforms continue to serve as hubs for communication and expression, they also become breeding grounds for harmful content. Hate speech, characterized by discriminatory, offensive or harmful language directed at individuals or groups based on attributes such as race, religion, ethnicity, gender or other characteristics, poses serious risks to online communities, the well-being of users and the overall integrity of digital spaces.

In essence, the Verbal Abuse Detection API uses advanced natural language processing (NLP) techniques and machine learning algorithms to analyze textual content and identify instances of hate speech.

One of the key features of the Verbal Abuse Detection API is its ability to understand the nuanced nature of the language. Hate speech often manifests itself in subtle or context-dependent ways, making it difficult to detect using rule-based systems alone. The API's machine learning models continuously learn and adapt to evolving patterns of hate speech, improving their accuracy over time.

The API is designed with flexibility in mind and supports multiple languages to ensure its effectiveness in a variety of linguistic contexts. This allows users with a global user base to maintain consistent hate speech detection capabilities regardless of the language in which the content is expressed.

The integration of the Verbal Abuse Detection API is straightforward, with well-documented endpoints and support for multiple programming languages. This simplicity facilitates seamless adoption by users and companies looking to strengthen their content moderation efforts without significant technical barriers.

By implementing the Verbal Abuse Detection API, digital platforms can proactively identify and address instances of hate speech, fostering a safer and more inclusive online environment. For social networks, forums, chat applications and other user-generated content platforms, the API acts as a proactive defense against the harmful impact of hate speech on user experience and community dynamics.

In conclusion, the Verbal Abuse Detection API stands as a powerful solution to the pressing challenge of mitigating hate speech online. Its real-time analytics, machine learning capabilities and seamless integration make it a valuable asset for platforms and companies committed to fostering safe, inclusive and law-abiding digital spaces. As the digital landscape continues to evolve, the Verbal Abuse Detection API remains a critical tool for promoting responsible online discourse and protecting users from the harmful effects of hate speech.

 

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. Social Media Moderation: Integrate the API to automatically detect and filter hate speech on social media platforms, maintaining a positive and safe online community.

  2. Forum and Comment Moderation: Implement the API to analyze and moderate discussions, comments, and user-generated content on forums, blogs, and community platforms.

  3. Chat Applications: Enhance the safety of chat applications by using the API to identify and mitigate hate speech in real-time, ensuring a positive user experience.

  4. Online Gaming Communities: Implement hate speech detection in online gaming platforms to foster a welcoming gaming environment, free from discriminatory language.

  5. News Comment Sections: Improve the quality of discussions in news comment sections by employing the API to filter out hate speech and offensive comments.

 

Are there any limitations to your plans?

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

API Documentation

Endpoints


To use this endpoint you must enter a text in the parameter.



                                                                            
POST https://zylalabs.com/api/3131/verbal+abuse+detection+api/3326/text+insult+detection
                                                                            
                                                                        

Text insult detection - Endpoint Features

Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"semantic_analysis":{"0":{"id_semantic_model":7,"name_semantic_model":"identity_hate","segment":"Are you stupid?"},"1":{"id_semantic_model":6,"name_semantic_model":"insult","segment":"Are you stupid?"},"2":{"id_semantic_model":2,"name_semantic_model":"toxic","segment":"Are you stupid?"}}}
                                                                                                                                                                                                                    
                                                                                                    

Text insult detection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/3131/verbal+abuse+detection+api/3326/text+insult+detection?text=Are you stupid' --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 Verbal Abuse 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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To use this API the user must indicate a text to detect if it is an offensive text.

The Verbal Abuse Detection API is a sophisticated tool designed to analyze and identify instances of verbal abuse or offensive language in textual content. It leverages advanced natural language processing (NLP) and machine learning algorithms to assess the appropriateness of language and detect verbal abuse.

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.

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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Prices are determined by a recurring monthly or yearly subscription, depending on the chosen plan.

API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.

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Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.

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 Service Level
100%
 Response Time
305ms

Category:


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