Unsupervised Text Classification and Search using Word Embeddings on a Self-Organizing Map

This paper presents the results of an experimental implementation of a document classifier leveraging contextual word embeddings clustered on a self-organizing map. The problem of document categorization is further compounded when there are no predefined categories, or conversely there are too many...

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Veröffentlicht in:	International journal of computer applications 2016-01, Vol.156 (11), p.35-37
Hauptverfasser:	Subramanian, Suraj, Vora, Deepali
Format:	Artikel
Sprache:	eng
Schlagworte:	Categories Classification Computer simulation Mathematical models Neural networks Representations Searching Texts
Online-Zugang:	Volltext
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