svs (version 1.0.2)

svs-package: Tools for Semantic Vector Spaces

Description

This package offers various tools for semantic vector spaces. There are techniques for correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization and EM clustering. Furthermore, the package contains specialized distance measures and plotting functions as well as some helper functions.

Contents

This package contains the following raw data files (in the folder extdata):

• SndT_Fra.txt

{Seventeen Dutch source words and their French translations.} SndT_Eng.txt{Seventeen Dutch source words and their English translations.} InvT_Fra.txt{Seventeen Dutch target words and their French source words.} InvT_Eng.txt{Seventeen Dutch target words and their English source words.} Ctxt_Dut.txt{Context words for seventeen Dutch words.} Ctxt_Fra.txt{Context words for seventeen Dutch words translated from French.} Ctxt_Eng.txt{Context words for seventeen Dutch words translated from English.}

itemize

• vec2ind

item

• fast_mca
• fast_dca
• fast_lsa
• fast_psa
• fast_nmf
• fast_E_M
• dist_cosine
• dist_wrt
• dist_wrt_centers
• pc_plot
• centers_ca
• tab2dat
• tab2ind

code

pvpick

pkg

pvclust

Further reference

• Many packages contain correspondence analysis:ca,FactoMineR,MASSand others.

There is also the package lsa for latent semantic analysis. The package NMF provides more flexibility for non-negative matrix factorization. For topic models there are the packages lda and topicmodels.

Author

Koen Plevoets, [e-mail]

Acknowledgements

This package has benefited greatly from the helpful comments of Lore Vandevoorde, Pauline De Baets and Gert De Sutter. Thanks to Kurt Hornik, Uwe Ligges and Brian Ripley for their valuable recommendations when proofing this package.