Clustering articles based on semantic similarity

Document clustering is generally the first step for topic identification. Since many clustering methods operate on the similarities between documents, it is important to build representations of these documents which keep their semantics as much as possible and are also suitable for efficient simila...

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Veröffentlicht in:	Scientometrics 2017-05, Vol.111 (2), p.1017-1031
Hauptverfasser:	Wang, Shenghui, Koopman, Rob
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computer Science Documents Information Storage and Retrieval Library Science Representations Scientometrics Semantics Similarity Vector spaces
Online-Zugang:	Volltext
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