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svs (version 1.1.0)

Tools for Semantic Vector Spaces

Description

Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis and EM clustering. Furthermore, there are specialized distance measures, plotting functions and some helper functions.

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Version

Install

install.packages('svs')

Monthly Downloads

1,700

Version

1.1.0

License

GPL-3

Maintainer

Koen Plevoets

Last Published

January 13th, 2016

Functions in svs (1.1.0)

dist_wrt_centers

Compute Distances with respect to Cluster Centers

Seventeen Dutch Target Words and their French Source Words

Probabilistic Latent Semantic Analysis

Tools for Semantic Vector Spaces

complete_pvpick

Complete the Output of pvpick

Plotting Parallel Coordinates

Transform a Table into a Data Frame

Compute Coordinates for Cluster Centers

Compute Level Frequencies (for a Factor)

Context Words for seventeen Dutch Words Translated from French

Recursive Application of the Outer Product

Compute Cosine Distances

Transform a Vector into an Indicator Matrix

Latent Semantic Analysis

Non-negative Matrix Factorization

Seventeen Dutch Target Words and their English Source Words

Pointwise Mutual Information

Transform a Table into an Indicator Matrix

Multiple Correspondence Analysis

Context Words for seventeen Dutch Words

Discriminant Correspondence Analysis

Compute Chi-square Distances

Seventeen Dutch Source Words and their English Translations

Mutual Information

Seventeen Dutch Source Words and their French Translations

Simple Correspondence Analysis

Plotting a Cumulative Distribution

weighting_functions

Weighting Functions

Context Words for seventeen Dutch Words Translated from French

Compute Distances with respect to a certain Point

Latent Class Analysis