In this article
Create a segment using the Pageview event, enriched with IBM Watson Natural Language Understanding
All IBM Watson properties can be used in segmentation. If the property is type List of Objects you must state the relevance score (as a decimal) of the property being selected, the relevance score indicates how relevant the property is to the classified document.
Categories
Example: Segmenting users interested in 'auto parts' (as classified by this standard taxonomy) with a maximum score of 0.8
Concepts
Example: Segmenting users interested in 'Gaming' concepts with a minimum score of 0.8
Emotions
Example: Segmenting users reading 'joyful' articles with a relevance score more than 0.7 on the topic of 'movies'
Entities
Example: Segmenting users reading articles related to 'Spain' with a relevance score of more or equal to 0.8
Keywords
Example: Segmenting users interested in articles on 'e-cigarettes' with a minimum relevance score of 0.7
Sentiment
Example: Segmenting users reading 'positive' articles with a relevance score more than 0.8
If you have any questions, please contact customer support by emailing support@permutive.com or chat to the Customer Operations Team via the LiveChat icon in the bottom right corner of your screen.