Latent semantic mapping
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Latent semantic mapping (LSM) is a data-driven framework to model globally meaningful relationships implicit in large volumes of (often textual) data. It is a generalization of latent semantic analysis.
Mac OS X v10.5 includes a framework implementing latent semantic mapping.[1]
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[edit] Notes
[edit] References
- Bellegarda, J.R. (2005). "Latent semantic mapping [information retrieval]".
- J. Bellegarda (2006). "Latent semantic mapping: Principles and applications". ICASSP 2006.
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