Quality is one of the most important aspects of any business, whether it’s a large corporation or a small business. In fact, it’s one of the most important aspects for success. This is due to the fact that customers will not be attracted to an inferior product.
The importance of having quality content on one´s website cannot be understated. It is the foundation of your online presence and serves as the basis for all other activities. Now, can one be certain that language in one´s content is decent? An automated tool is necessary to detect and eventually replace unwanted words in a text.
Developers receive requests from their clients to devise automated tools that allow them to check the quality of their content so as to be certain of the text they publish, whether it´s their own´s or texts they take from other people´s sites. A good basis for developing customized software is Bad Words Filter API. Content quality keeps customers´ loyalty, attracts new customers and adds to the reputation of the publisher.
Well written and relevant content appeals to visitors who´ll be more inclined to read it and return frequently. This will render better marketing experience and increased conversions, in the field of commercial activities. This is the reason why analyzing website’s content, is the way to determine what one´s audience wants and needs. The more we know about them, the easier it will be to craft a message that resonates with them.
These types of content filter APIs are also useful for extracting information from user-generated text in order to perform analytics, or for extracting information from written text in order to perform NLP. It`s an easy-to-use tool that will help to quickly determine the language of any text, so as to filter any bad word that may affect the pristine condition of a text.
The most common use cases of this text moderation API is for those who want to filter any content that may have bad or unwanted words in it. It could be an article by one´s content creators to be uploaded on one´s site, or maybe one has the intention to extract text from a blog or post and wants to avoid bad words. Likewise, this API is excellent for those who want to maintain an environment without negative language on their site to prevent users from setting any offensive nicknames, in the case of an integrated chat on one´s site, to avoid toxicity with ease with this API. It allows to censor any bad behavior right away!
A content quality API is designed to help you improve your content by providing information about the text. This information can help you make changes to your content that will make it more readable and engaging. Additionally, it can help identify errors in your writing and give suggestions for how to improve the text.
In all, the filter uses NLP to decode the content into logical words ignoring punctuation, case, formatting, etc. Word transformations are also applied so as to detect obfuscation of bad words like repeating characters, spurious whitespace, and special characters. The bad or unwanted words can be deleted or substitutes (by another word or by a character of substitution of the user´s choice).
How To Use This 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 “TOSSER” in the endpoint, the response will look like this:
{
"censored-content": "**",
"is-bad": true,
"bad-words-list": [
"tosser"
],
"bad-words-total": 1
}