There are lots of personnel who deal with user input, search terms, and instances where the input text could be inappropriate. This must occasionally be filtered away.
The content moderation API scans images and videos for adult content, symbols of hatred, weapons, and offensive language that can be found in image text. This solution allows you to automatically monitor user-generated content in your web or mobile app community, fulfill broadcast media compliance needs, or stop users from publishing illegal content in real time.
How Does Content Moderation Work?
When texts are exchanged online or on social media, sensitive content can be found using content moderation APIs that use AI models. In addition to transcribing information from audio or video sources, some of the best Speech-to-Text APIs also include Content Moderation. This broadens the application of content moderation to include podcast and video platforms like Spotify and YouTube.
Topics relating to drugs, alcohol, violence, delicate social concerns, hate speech, and more are frequently among the sensitive content that Content Moderation APIs pick up on.
What Are the Steps in Content Moderation?
One of the three techniques—generative, classifier, or text analysis—is commonly used to create content moderation models.
A generative model uses a text as input to produce a list of potential subjects for content moderation, some of which may or may not be included in the original text. For instance, a generative model might identify references to tobacco in the input text He had a cigarette after supper.
When a text is input into a classifier model, it outputs a probability that the text complies with a specified list of categories for sensitive material. For instance, a straightforward classifier Content Moderation model with three possible outputs—hate speech, violence, and profanity—could be created. The model would then produce a likelihood that the text fit one of the aforementioned scenarios.
Finally, content moderation might make use of a broad text analysis approach. With this approach, one would develop a small dictionary of words that are prohibited for usage in each established category, such as drugs or crime, using a “blacklist” strategy. If one of these terms appeared in the input text sent through the model, it would classify the text in accordance with the category that word was listed under.
Moreover, the text may be edited. A swear word API allows you to search through a vocabulary of more than 150,000 words. You can discover antonyms, derivation forms, parts of speech, definitions, and other morphological details for particular words. FavQs is another API that enables you to assemble your favorite quotes. The returned data includes user info, quotes, and user behavior. The profane text removal API offers a variety of RESTful services that developers can use to integrate into their programs.
Using this API, unwanted terms can be found, extracted, and removed from the text. The most commonly suggested API for quickly and thoroughly deleting all the hazardous terms is the one that is displayed below.
Bad Words Filter API
What are the API’s most common applications?
Users who want to filter any content that uses inappropriate language should utilize the Bad Words Filter API. It can be an article that one of your content writers would want to post on your website.
It might be a good idea to edit any offensive words out of a blog post or blog.
If you want to make sure that your website does not contain any words that others find offensive, the Bad Words Filter API is a fantastic alternative.
If your website has chat functionality, utilize this API to simply stop toxicity and users from establishing unpleasant usernames.
Immediately censor any inappropriate behavior!
Case, punctuation, and other API-related formatting issues. Word changes can also be used to spot additional issues including hidden words, repeating letters, unnecessary whitespace, special characters, and other issues. In order to transform the data into terms that can be comprehended by natural language processing, the filter excludes some words (NLP). With the help of the Bad Words Filter API, you may filter offensive words in addition to locating and removing them from text.
What are the input and output (input and output) of this API?
In response to a text string or URL, the Bad Words Filter API will provide a list of all the bad words it has discovered.
A character may be used as a substitute for these pejorative phrases.
It might be changed to a different word or an asterisk.