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Machine Learning and Marketing

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Type Name
Attribution Models
Brand Reputation
CX and Topic Models
Churn Prediction
Customer Segmentation
Image Analysis
SEO
Sentiment Analysis
This live repository contains example workflows of common data science problems in Marketing Analytics. The original task was explained in: F. Villarroel Ordenes & R. Silipo, “Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications”, Journal of Business Research 137(1):393-410, DOI: 10.1016/j.jbusres.2021.08.036. Please cite this article, if you use any of the workflows in the repository.

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