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

Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Volumn , Issue , 2016, Pages 3245-3249

  Hengchen, Simon ^a   Coeckelbergs, Mathias ^a   Van Hooland, Seth ^a   Verborgh, Ruben ^b   Steiner, Thomas ^c  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c GOOGLE   (United Kingdom)

Author keywords

archives; LDA; topic modeling; topic modelling

Indexed keywords

INTERNATIONAL LAW;

ARCHIVES; EUROPEAN COMMISSION; EUROPEAN UNION; HIERARCHICAL SEARCH; LARGE VOLUMES; PROBABILISTIC MODELS; PROOF OF CONCEPT; TOPIC MODELING;

BIG DATA;

EID: 85015237207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2016.7840981     Document Type: Conference Paper

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