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Entity recognition with Machine Learning - Ensemble Learners

Posted by Tom Magerman on 8/4/21 5:42 PM

In part I and part II of this series, we checked the effectiveness of applying automated named entity recognition on a set of miscellaneous documents in a corporate document management system. The idea is to use machine learning and artificial intelligence techniques to identify and extract natural person names from documents. This results in a list of person names and the position of where those person names appear in the document, and that information can be added to the document as meta-data. This can e.g., be used to link data or to derive GDPR-sensitivity.

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Topics: Alfred, Machine Learning, Artificial Intelligence, data recognition, spaCy, python, openNLP, bagging, boosting, ensemble

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Xenit is a Belgium-based IT company, focusing  on content services solutions, and covering all document-related business processes, from data migration to digital archive to hybrid/cloud hosting solution, to help organizations get control of their information. Premier Partner and System Integrator of Alfresco Digital Business Platform, Xenit has more than 10 years of experience in Alfresco Content and Process Services.


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