Our client collects a large amount of market research data and customer feedback. In many cases, this involves unstructured text data.
The status quo solution was a mix of manual classification from humans and using a special purpose classification APIs (expensive).
The goal was to implement an API to do feedback classification based on large language models with human level accuracy, multilingual, GDPR respecting, and low operational costs.
- Human level accuracy with no training data for a big variety of different topics (no special purpose solution)
- Multi-language support (automatically)
- Data privacy (avoid leaking personal data to external providers)
- Low operational cost per categorization than the current solution.
What’s a Rich Text element?
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.