Analysis of Word Embeddings
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Date
Authors
Thurnbauer, Matthias Johannes
Journal Title
Journal ISSN
Volume Title
Publisher
Jihočeská univerzita
Abstract
The influence of the window size on semantic and thematic similarities between words was
analyzed for the algorithms Word2Vec and Glove. Furthermore, a disambiguation method was
proposed using a density based clustering algorithm called DBSCAN. The report also contains
performance measurements regarding the training times of these static word embedding algorithms showing the influence of the token normalization process.