Updates
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
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
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
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
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
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
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
We've just published a new model for recognizing a collection of sensitive numbers.
Improvements
We've discovered and fixed an issue where sentences added to word-lists would not be detected properly.
Updates
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
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
Zapier
In this tutorial, I'll be showing you how to automatically detect and remove swear words from text using Zapier and the Moderation API.