J.C. Scholtes

Text mining generally refers to the process of extracting interesting and non-trivial information and knowledge from unstructured text. Information extraction varies from extracting simple semantic entities to advanced patterns such as facts, events, sentiments, emotions or even more abstract concepts.

Using document classification algorithms helps to organize large document collections and provide the users with a high-level overview and organize the documents in such a way that the answers to research or investigative questions is more or less clear form the organization and presentation of the data to the investigator.

An overview of past student projects and publications can be found here: www.textmining.nu

Expertise

Search technology, e-discovery, records management, corporate governance, information governance, information access, text mining, text analytics, machine learning, big-data analytics, knowledge engineering, knowledge management, computation linguistics, artificial intelligence and enterprise information management.

Professional career history

From 1987 to 2021 Scholtes acted first as President / CEO of ZyLAB until 2009 and as Chairman - Chief Stategy Officer until 2021. Scholtes has been involved in deploying in-house e-discovery software with organization such as the UN War Crimes Tribunals, the FBI-ENRON investigations, the EOP (White House), and thousands of other users worldwide.

Since 2008, Scholtes holds the extra-ordinary Chair in Text Mining from the Department of Knowledge Engineering at the University of Maastricht and he is a senior research fellow of the Dutch School for Information and Knowledge Systems (SIKS). (SIKS) is a Dutch Research School established in 1996 and accredited by the Royal Netherlands Academy of Arts and Sciences (http://www.siks.nl/).

Before joining ZyLAB in 1989, Scholtes was lieutenant in the intelligence department of the Royal Dutch Navy. Scholtes holds a M.Sc. degree in Computer Science from Delft University of Technology and a Ph.D. in Computational Linguistics from the University of Amsterdam.

From January 2010 to December 2012, he was a member of the board of directors of the Association of Information and Image Management (AIIM), the worldwide leading authority for standards and education in Enterprise Information Management (http://www.aiim.org).

J.C. Scholtes

Special Chair of Text-Mining

Chief Data Scientist at iPRO

President Benelux Chapter of the Association of Certiied eDiscovery Specialists (ACEDS)

Fellow University Leiden LCDS and CPL

Fellow at the SIKS School of the KNAW

 

Data Science & Knowledge Engineering, Faculty of Science and Engineering
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