University of Cambridge > > Inference Group > Lexicographic text analysis using non-negative factorisation techniques

Lexicographic text analysis using non-negative factorisation techniques

Add to your list(s) Download to your calendar using vCal

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.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity