Distributional Clustering of Words for Text Classi cation

Abstract

This paper describes the application of Dis tributional Clustering to document classi cation This approach clusters words into groups based on the distribution of class labels associated with each word Thus unlike some other unsupervised dimensionality reduction techniques such as Latent Semantic Indexing we are able to compress the feature space much more… (More)

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