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Lexicographic text analysis using non-negative factorisation techniques

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If you have a question about this talk, please contact Phil Cowans .

Non-negative matrix factorisation (NNMF) is proposed as an alternative to Principle Component Analysis for use in latent semantic analysis of large text corpora. NNMF recognises the inherent non-negativity of language data, and has been shown to organise data into easily understood concept groups of words. The representation of articles as a linear superposition of such concept groups provides an intuitive method for comparison between articles.

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