Forecasting and discriminant analysis

摘要

Document representation using the bag-of-words approach may require bringing the dimensionality of the representation down in order to be able to make effective use of various statistical classification methods. Latent Semantic Indexing (LSI) is one such method that is based on eigendecomposition of the covariance of the document-term matrix. This paper points out that LSI ignores discrimination while concentrating on representation.