Enhancing Text Clustering Performance Using Semantic Similarity

Text documents clustering can be challenging due to complex linguistics properties of the text documents. Most of clustering techniques are based on traditional bag of words to represent the documents. In such document representation, ambiguity, synonymy and semantic similarities may not be captured using traditional text mining techniques that are based on words and/or phrases frequencies in the text.

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