The internet is a huge and varied place, home to billions of people and hundreds of thousands of websites. It’s no surprise that there are many offensive words and phrases in content out there.
If you’re a developer you may have experience with content filters, that allow users to analyze text and return a score indicating how offensive it is.
Developers are requested tailored applications by their clients, so as to be able to rely on clean content. They need strong tools like Content Filter API that are typically used to block offensive or inappropriate content on websites and social media platforms. Anyhow, they can also be used for other purposes, such as detecting spam or filtering out sensitive information in an email.
There are many different types of content filters, each with their own set of rules and parameters. They can be trained to recognize specific words or phrases, or they can use ML algorithms to identify patterns of behavior. Content filters can be used to block offensive language in any form, including text, images, and audio. They can also be used to detect hate speech, which is particularly important in the context of online harassment and abuse.
There are a few different methods. One method is called word filtering. This method uses a list of words that are known to be offensive or abusive. When a user enters one of these words, it is automatically blocked. Another method is called phrase filtering. This method uses a list of phrases that are known to be offensive or abusive. When a user enters one of these phrases, it is automatically blocked. Another method is called term filtering. This method uses a list of terms that are known to be offensive or abusive. When a user enters one of these terms, it is automatically blocked. Another method is called context filtering. This method uses contextual analysis to determine whether a word or phrase is offensive.
An API defines the format and protocol for communication between the systems, and defines the requests and responses sent between the systems; likewise it defines the functionality offered by the systems and the security measures in place, as well as how much information can be sent at once or the response time. With this content moderation API you can forget about bad language and other things that can make your content not appropriate enough.
This conten filter API is ideal for those users that receive user submitted posts or texts. With this text moderation API you can check if the submitted material is appropriate and thus prevent inappropriate posts from being published. The API scans the text, spots the word/phrase and -as per the user´s choice- blocks or substitutes the unwanted part.
An API for cleaning text is a great tool for anyone who needs to edit their content before publishing it online. This includes bloggers, writers, developers, and anyone else who wants to ensure that their writing is clean and error-free. This will allow to improve the readability of your writing by removing unnecessary punctuation, capitalization, and other elements; improve the accuracy of your spelling by checking each word against a dictionary; remove duplicate words from your writing by looking for words that appear more than once; remove unnecessary characters from your writing by looking for spaces, new lines, and other elements that are not necessary. All of these features can help produce high-quality writing quickly and easily!
How To Start Using This Content Filter API
Once you count on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Bad Words Filter API by simply clicking on the button “Start Free Trial”. Then meet the needed endpoint and simply provide the search reference. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.
Bad Words Filter API examines the input and processes the request using the resources available (AI and ML). In no time at all the application will retrieve an accurate response. The API has one endpoint to access the information: Content Filter, where you insert the text you need to scan for bad words. If the input is “shit-for-brains” in the endpoint, the response will look like this:
{
"censored-content": "****",
"is-bad": true,
"bad-words-list": [
"shit-for-brains"
],
"bad-words-total": 1
}