Augmentation of a term/document matrix with part-of-speech tags to improve accuracy of latent semantic analysis Article

Rishel, T, Perkins, AL, Yenduri, S et al. (2006). Augmentation of a term/document matrix with part-of-speech tags to improve accuracy of latent semantic analysis . 5(6), 1361-1366.

cited authors

  • Rishel, T; Perkins, AL; Yenduri, S; Zand, F; Iyengar, SS

fiu authors

abstract

  • We consider the improvement in accuracy of latent semantic analysis when a part of speech tagger is used to augment a term/document matrix. We first construct an augmented term/document matrix as input into singular value decomposition (SVD). The singular values then serve as principal components for a cosine projection. The results show that the addition of POS tags can decrease ambiguities significantly.

publication date

  • June 1, 2006

start page

  • 1361

end page

  • 1366

volume

  • 5

issue

  • 6