Recommendations are a powerful way to get visitors to find the correct information and entice them to view more content. To determine the most relevant recommendations, you must associate the right metadata with your content. But choosing that metadata is complex and time-consuming when done manually.
The new AI Text Analysis feature processes text in content items and extracts relevant topics. These are then automatically added as metadata. Our tests show that this automatic metadata leads to particularly relevant recommendations.
Example
Here’s an example article to demonstrate how AI Text Analysis works:
"Ireland is one of my favourite places to play golf. I’ve been on two golf trips there prior to this occasion. Both trips left me longing for more and once quarantine free travelling to Ireland was possible again, we were fast to book our flights to play the best golf courses in Ireland & Northern Ireland.
Below my itinerary to Ireland and Northern Ireland is shown and the Irish golf courses I played during my visit. I started south of Dublin at the European Club and went up north and finalized this golf trip with Royal County Down."
The AI Text Analysis feature extracted the following topics. The scores assigned to each topic indicate the relevance of this topic to the processed document. This score ranges from 0 to 1, with 1 representing the highest relevance of the topic to the processed document.
| 1.00 | Golf course |
| 1.00 | Golf |
| 1.00 | Royal Portrush Golf Club |
| 1.00 | Individual sports |
| 1.00 | Team sports |
Supported languages
Prepr supports AI Text Analysis for the following languages:
Arabic
English
Chinese
Danish
Dutch
Finnish
French
German
Italian
Japanese
Korean
Norwegian
Polish
Portuguese
Russian
Spanish
Swedish
Learn more
Curious to see how recommendations can help you? Schedule an appointment with one of our solution engineers or learn more on our Documentation site.