Creating cohorts using IBM Watson Natural Language Understanding

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Create a cohort using the Pageview event, enriched with IBM Watson Natural Language Understanding

All IBM Watson properties can be used in creating cohorts. 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: Creating cohorts of users interested in 'auto parts' (as classified by this standard taxonomy) with a maximum score of 0.8

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Concepts

Example: Creating cohorts of users interested in 'Gaming' concepts with a minimum score of 0.8

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Emotions

Example: Creating cohorts of users reading 'joyful' articles with a relevance score more than 0.7 on the topic of 'movies'

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Entities

Example: Creating cohorts of users reading articles related to 'Spain' with a relevance score of more or equal to 0.8

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Keywords

Example: Creating cohorts of users interested in articles on 'e-cigarettes' with a minimum relevance score of 0.7

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Sentiment

Example: Creating cohorts of users reading 'positive' articles with a relevance score of more than 0.8

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