stories
The Clbuttic Mistake: A Thing Of The Past?
The Clbuttic Mistake, also known as the Scunthorpe problem, has frustrated users and developers alike for years. But could new solutions finally make this problem a thing of the past? Let's explore.
Christopher Dengsø
Updates
Product update: custom models and sentiment analysis
We have been hard at work to develop new features and enhance the experience with Moderation API. Today, we are incredibly excited to announce: 1. A brand-new feature to create and train custom AI models 🛠 2. A new Sentiment Analysis model 🧠🌟 Introducing Custom Models 🌟 Say hello to the era of
Updates
New Sentiment Analysis Model
A new sentiment model just became available in your dashboards. In our evaluations the new model seems to surpass other solutions on the market when understanding underlying sentiment in more complex senteces. This is probably due to the underlying large language model with its remarkable contextual understanding. The model detects
Tutorial
How to train your own AI model
Complex real-world problems often require tailored solutions, rather than a one-size-fits-all approach. For example, different businesses have unique values and objectives, meaning their AI models need to reflect their distinct requirements. Traditionally, training a production-level classifier was a resource-intensive and time-consuming process that required significant amounts of data to label
Updates
New NSFW text detection model
We've released a new NSFW ("Not Suitable For Work") model for detecting NSFW or otherwise sensitive text. However, it's still in the experimental stage, so we recommend using it alongside your existing models. The model can detect and categorize UNSAFE or SENSITIVE content. It
New: increase in character limits
For security reasons all accounts have a character limit at 10.000 characters pr. request. If you have cases where you need to analyze a big amount of text, you might need to increase this limit. Now you can - just send us a message at support@moderationapi.com. In
New Analyzer Models: Toxicity, Quality, & Propriety
I'm excited to announce 3 new models available in the dashboard as of today! In this post, I'll briefly go over each of them and describe some interesting use cases. Each analyzer returns the respective scores of each label and decides on the label with the
Improved project dashboard
As we add more and more models, we saw the dashboard getting more cluttered. To improve and anticipate upcoming features, we've changed to a search interface where you add each model to a project. This makes for a powerful workflow where you can add specific models needed per
New Recognition Model: Sensitive Numbers
We've just published a new model for recognizing a collection of sensitive numbers.
Improvements
Better detection of phrases added to word lists
We've discovered and fixed an issue where sentences added to word-lists would not be detected properly.
Updates
New Word List Feature
You will now see a word list tab on the dashboard. You can create multiple word lists that can be used across your filters and analyzers. For example, create a word list for mild swear words that you want to allow in your app, and leave our profanity filter to
Zapier
How To Detect and Hide Emails, Phone Numbers, and Contact Details in Text with Zapier
In this tutorial, I'll be showing you how to automatically detect and remove contact details from unstructured text. We'll be using Zapier to automate the workflow, and the Moderation API integration to do detect and moderate text coming from TypeForm submissions. In this example the data