Do you need to get a list of the detected profanity in a text? You can do it by using the following API!
If you’re looking for a way to filter out offensive language from your data, you’ve come to the right place. There are many different ways to detect profanity in text, and each method has its own strengths and weaknesses. In this article, we’ll introduce you to the most common methods for detecting profanity in text, as well as provide some examples of how you can use these methods in your own applications.
Profanity Detection Methods
There are many different ways to detect profanity in text. Some methods are more accurate than others, and some are better suited for specific applications than others. Here are a few of the most common methods for detecting profanity in text:
1-Use a dictionary of offensive words: One of the most common methods for detecting profanity is to use a dictionary of offensive words. This method works by checking each word in the text against a dictionary of offensive words. If there is a match, then the word is considered to be profane.
2-Use a list of offensive words: Another common method for detecting profanity is to use a list of offensive words. This method works by checking each word in the text against a list of known offensive words. If there is a match, then the word is considered to be profane.
3-Use machine learning: Another method for detecting profanity is to use machine learning. This method works by training an algorithm on a large corpus of text that contains both offensive and non-offensive words. The algorithm then learns to identify patterns that are commonly associated with offensive words.
4-Use contextual analysis: Another method for detecting profanity is to use contextual analysis. This method works by analyzing the surrounding words and context of each word in the text. If there are any other words or phrases that are commonly associated with offensive language, then the word in question is considered to be potentially offensive.
Get A List Of The Detected Profanity With An API
If you’re looking for an easy way to get a list of the detected profanity in a text, then you should try using an API. APIs are easy-to-use tools that can help you quickly filter out any offensive language from your data. They work by scanning the text and identifying any instances of profanity. Then they return this information back to you so you can easily integrate it into your own applications or websites.
So if you need to get a list of the detected profanity in a text, then we recommend using an API like Bad Words Filter API. This API can help you detect any language from a text and also filter it out from your website for you.
This API can also help you detect any swear words and remove them from your text, so if you want to reach new audiences with your content and make sure it is safe and not offensive, filtering out profane words will help you achieve that goal. Bad Words Filter API is the API you need if you want your business to reach everyone and sound professional.
To make use of it, you must first:
1- Go to Bad Words Filter API and simply click on the button “Subscribe” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.
