Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set

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Knowledge Triples

Source Entity	Relationship	Target Entity
K Means Method	comparesWith	Self Organizing Maps Method
LaRoSeDa Material	usedFor	Sentiment Classification Task
Self Organizing Maps Method	demonstratedOn	Text Categorization Task
Sentiment Classification Task	isBasedOn	High Level Features Method
Sentiment Classification Task	isBasedOn	Low Level Features Method