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NLP in ECM: A Revolutionary Approach to Unstructured Data

Introduction Enterprise Content Management (ECM) is a pivotal instrument in the toolkit of modern businesses. However, a significant challenge arises when dealing with unstructured data, a hidden goldmine for potential insights. That’s where Natural Language Processing (NLP) steps in as a vital component in ECM solutions. The Phenomenon of Unstructured Data To understand the necessity...

Entity recognition with Machine Learning - Ensemble Learners

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...

Entity Recognition with Machine Learning

In this pilot study, Tom Magerman – MSc Business and Information Systems Engineering, PhD at UCLL (University Colleges Leuven Limburg) – and our team at Xenit,  want to check 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...

Intelligent Automation Trends: AIIM's survey

The Association of Intelligent Information Management (AIIM) published survey results from 100 Leaders in Document Automation, focusing on how the digital workforce takes advantage of Document Automation Solutions.  1. Document processing automation Major trends are expanding advanced capture, replacing paper forms with e-forms, processing more born-digital documents and expanding to the cloud. What do you see as...

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