Many of us deal with user input, search terms, and circumstances where the input text could contain abusive language or other inappropriate language. This needs to be filtered out frequently.
Building applications where users post (or interact with) content will inevitably require you to detect and filter profanity. These include, to mention a few, chat rooms for video games, comment sections, and social networking applications.
If your app demands it, having the capacity to recognize profanity and filter it out is the key to maintaining safe and suitable conversation areas.
This article will show you how to use Python and Flask to create a GraphQL API that can identify and filter profanity. Visit this GitHub repository to see the source code for the demo application if you are only interested in the code.
What Is profanity?
The inappropriate, vulgar, or rude use of words and language is referred to as profanity (also known as curse words or swear words). Profanity is a useful tool for expressing or demonstrating strong feelings.
Profanity might give the impression that online spaces are hostile to users, which is not desired for an app that is intended for a broad user base. You decide which words constitute profanity. This article will show you how to filter words separately so you can decide what kind of language is acceptable on your app.
Why do we catch and delete obscene language?
To encourage constructive communication, especially when children are involved
To enhance social interactions by fostering a friendly atmosphere for dialogue
To further bolster user communities’ security
For communication spaces to automatically block and filter harmful information
to lessen the requirement for manually moderating user activity in online communities.
Common Issues Encountered When Identifying Vulgarity
Language subversions could be used by users to bypass censors.
Users may begin to manipulate the language to get around filters by creatively misspelling words or replacing letters with numbers and Unicode symbols.
When filtering content, profanity filters might not take context into account.
Filtering profanity frequently results in false positives, as seen by the Scunthorpe issue.
We’ll make a list of unacceptable terms and then check to see whether a given string contains any of them to develop our profanity filter. If profanity is found, we will substitute a censoring text for the offending word.
Unwanted terms can be detected and extracted using this API, as well as eliminated from the text. The API shown below is the one that is most frequently advised for rapidly and completely removing all the dangerous phrases.
Bad Words Filter API
Accentuation, case, ordering, and other linguistic conventions are disregarded in favor of ordinary language processing, which splits the contribution to intelligent words (NLP). Word changes can uncover words with repetitive letters, excessive whitespace, and unique characters as well as help detect terms that are wordy. Along with locating and deleting offensive phrases from the text, the Bad Words Filter API also enables you to alter offensive terms out of it.
The Bad Words Filter API will be given a URL or text input string, and it will then return a list of the majority of offensive terms it has found.
You can also choose to substitute another person for these horrifying words.
You might elect to use a reference symbol or another approach.
Use this API to filter any content that contains offensive language. On your website, you might want to post an article that was created by one of your content writers. If you wish to avoid using foul language, you could copy text from a blog or post.
Approaches to Use To sign up, visit the Zyla API Hub marketplace and choose the Bad Words Filters API using the search API engine. Depending on your needs, you can choose either the Pro plan, the Pro Plus plan, or the basic plan. By using the best instrument, you may delete any unfavorable words and phrases. Each easily accessible API can be checked out, of course. Utilize this wonderful resource!