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Dive into the research topics where Simon Hengchen is active.

Publication


Featured researches published by Simon Hengchen.


Archive | 2017

Text Mining for User Query Analysis

Anne Chardonnens; Simon Hengchen

The recent development of Web Analytics offers new perspectives to libraries, archives and museums to improve their knowledge of user needs and behaviours. In order to dive into the mind of their end users, institutions can explore queries from a digital catalogue. However, a manual exploration demands a major time commitment and only leads to limited results. This paper explores how text mining techniques can help automate the analysis of large volumes of log files. A 5-step methodology including clustering is illustrated by a case study from the State Archives of Belgium.


international conference on big data | 2016

Exploring archives with probabilistic models: Topic modelling for the valorisation of digitised archives of the European Commission

Simon Hengchen; Mathias Coeckelbergs; Seth van Hooland; Ruben Verborgh; Thomas Steiner


Brussels Studies | 2018

How hot is .brussels?: Analysis of the uptake of the .brussels top-level domain name extension

Margot Waty; Seth van Hooland; Simon Hengchen; Mathias Coeckelbergs; Max De Wilde


Brussels Studies | 2018

Hoe hot is .brussels? Analyse van de introductie van de top level domeinnaam .brussels

Margot Waty; Seth van Hooland; Simon Hengchen; Mathias Coeckelbergs; Max De Wilde; Jean-Michel Decroly


Brussels Studies | 2018

Quel engouement pour « .brussels » ? Analyse de l’utilisation de « .brussels » comme extension de nom de domaine de premier niveau

Margot Waty; Seth van Hooland; Simon Hengchen; Mathias Coeckelbergs; Max De Wilde; Jean-Michel Decroly


Proceedings of the 15th International Symposium on Information Science (ISI 2017) ; Berlin, Germany, 13th—15th March 2017: Everything Changes, Everything Stays the Same? Understanding Information Spaces | 2017

Text Mining for User Query Analysis: A 5-Step Method for Cultural Heritage Institutions

Anne Chardonnens; Simon Hengchen


Archive | 2017

When Does it Mean?: Detecting Semantic Change in Historical Texts

Simon Hengchen; Seth van Hooland


Archive | 2017

Scrambling for Metadata: Using Topic Modeling and Word2Vec to Explore the Archives of the European Commission

Seth van Hooland; Mathias Coeckelbergs; Simon Hengchen; Ettore Rizza


Digital Humanities Quarterly | 2017

Semantic Enrichment of a Multilingual Archive with Linked Open Data

Max De Wilde; Simon Hengchen


Proceedings of the Japanese Association for Digital Humanities Conference 2016 | 2016

Comparing Topic Model Stability across Language and Size

Simon Hengchen; Alexander O'Connor; Gary Munnelly; Jennifer Edmond

Collaboration


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Seth van Hooland

Université libre de Bruxelles

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Max De Wilde

Université libre de Bruxelles

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Mathias Coeckelbergs

Université libre de Bruxelles

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Anne Chardonnens

Université libre de Bruxelles

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Jean-Michel Decroly

Université libre de Bruxelles

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Ettore Rizza

Université libre de Bruxelles

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