Logistic Regression

Publishing Audience Segmentation by Interests & Topic Affinities

Digital Publishing

An Analytics tool can auto-tags stories with topics and measures quality of engagement, and provide much more reliable Audience Interest based segmentation using sophisticated algorithms in Machine Learning.

Benefits for the company

For editorial and audience development teams, the ability to clusterize and view audiences by their topic affinities which is currently done using a mix of demographic indicators such as age, sex, location and session attributes such as Facebook audience, repeat user, visited politics category, isn’t very reliable and time consuming.



Type of expertise/ AI domain

Text Mining, Classification, Clustering

Internal data required

Audience Interests, interaction, Click Report, Content Consumption, Audience Segments

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