Whether you’re moderating comments on a website or blog or you’re just trying to avoid accidental profanity in your writing, it’s essential to detect bad words in a text to take appropriate action. Luckily there are now AI-powered tools that can help you automate the process.
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How To Detect Bad Words?
Swear words are words considered offensive, profane, or vulgar. People use them negatively or angrily and direct them at others as an insult. People can also use words to express strong emotions such as frustration, disappointment, or excitement.
You can create a profanity filter using various methods. The most efficient one is using a bad word detection API. For instance, Bad Words API by APILayer is one of the best and most advanced filters you can find. It uses pre-trained Machine Learning models to detect swear words in any text. It can also apply a mask on the detected terms and censor them.
APILayer is one of the most popular API marketplaces online. Its Bad Words API filters out swear words in your systems. Since it uses AI to detect bad words, it can predict misuses and will also see acronyms. For instance, fck will get caught as it should, but frck will not.
The bad Words API:
- Tells you what swear word it filtered and where it was in a message.
- Resists filter bypassing attempts.
- Catches words with special characters.
APILayer provides a free subscription plan where you can send 100 requests per day for free to test the API in your system or project.
Why Would You Want To Detect Bad Words?
You might want to detect swear words in a text for a few reasons. Maybe, you’re developing a filter for user-generated content or automatically flagging comments for moderation. Perhaps you’re working on a natural language processing project and want to identify profanity for further analysis.
Whatever the reason, there are several approaches to this problem. One option is to use a list of known bad words. This is effective but limited to only the words on your list.
Another approach is to use a machine learning model trained on a large dataset of text with labels for profanity. This is more accurate but requires more training data and computational resources.
How To Detect Bad Words Via An Automated API?
An API is an excellent option if you want to automate swear word detection. Here’s how to make it happen.
First, you’ll need to find an API that offers this functionality. We recommend using the Bad Words Detection API by APILayer. The Bad Words API is easy to use and provides a free subscription plan, so you can test it out before committing to a paid plan.
Once you have your API set up, you’ll need to send the text you want to check for swear words to the API. The API will generate a list of any swear words discovered and their locations in the text.
You can then take this information and do whatever you want, flagging the words for review or automatically censoring them. Either way, using an API is a quick and easy way to automate detecting swear words in the text.
What Are The Benefits Of Using An API?
Using an Application Programming Interface (API) is a great way to automate tasks. In the context of detecting swear words in a text, an API can automatically check a text for profanity and flag offensive words. This can save you the time and effort of manually scanning texts for swear words.
Using an API can also help to ensure you accurately identify swear words that are new slang.
How To Get Started With Using An API?
If you’re looking to get started with using an API to automate the detection of swear words in a text, there are a few things you’ll need to do first. Firstly, you’ll need to find an API that offers this functionality. Bad Words API by APILayer is the best option.
Once you’ve found an API that suits your needs, you’ll need to sign up for an account and obtain an API key. Once you have your key, you’ll be able to access the API and begin using it.
Here I would like to create our demo application using Delphi and FireMonkey. With Delphi and FireMonkey, you can create native and cross-platform applications using a single code base. Here you can get your Delphi Community Edition to start with! Then open the Delphi CE and create a new multi-device application and put UI components similar to this.
How To Integrate An API In Your Delphi Project?
Finally, you’ll need to write some code to use the API. This code will likely involve requesting the API and then handling the response.
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procedure TForm1.Button1Click(Sender: TObject); begin RESTClient1.ResetToDefaults; RESTClient1.Accept := 'application/json'; RESTClient1.AcceptCharset := 'UTF-8, *;q=0.8'; RESTClient1.BaseURL := 'https://api.apilayer.com/bad_words?apikey=' + Edit1.Text; RESTResponse1.ContentType := 'application/json'; // provide the text as body here RESTRequest1.AddBody(Edit2.Text); RESTRequest1.Execute; var JSONValue := TJSONObject.ParseJSONValue(RESTResponse1.Content); try if JSONValue is TJSONObject then begin Memo1.Text := JSONValue.GetValue<String>('censored_content'); end; finally JSONValue.Free; end; end; |
This is the final result. As you can see, the API has detected and masked offensive words using the star sign. Here in this repository [1], you can find the complete source code.
Furthermore, check out these articles and tutorials that show you how to automate various procedures using APIs.
- How To Turn Images Into Blurred Format – Pixelization
- How To Create A URL Shortener Application
- The Only Killer Way To Check SERP Real-Time
Why Should You Select Bad Words API By APILayer?
We hope you enjoyed this article on detecting swear words in a text using the Bad Words API. This powerful API saves you time and energy when trying to identify the offensive language in your system.
We encourage you to try it out and see how it works. Head over now and get your free API access key!
[1] https://github.com/MuminjonGuru/BadWordsAPIDemo
