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svs (version 1.0.2)

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 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

1.0.2

License

GPL-3

Maintainer

Koen Plevoets

Last Published

October 16th, 2015

Functions in svs (1.0.2)

Context Words for seventeen Dutch Words Translated from French

Seventeen Dutch Source Words and their English Translations

Compute Cosine Distances

Non-negative Matrix Factorization

Seventeen Dutch Target Words and their English Source Words

Transform a Vector into an Indicator Matrix

Transform a Table into a Data Frame

Probabilistic Latent Semantic Analysis

Compute Chi-square Distances

Multiple Correspondence Analysis

Seventeen Dutch Target Words and their French Source Words

Compute Distances with respect to a certain Point

Tools for Semantic Vector Spaces

Compute Coordinates for Cluster Centers

Plotting a Cumulative Distribution

dist_wrt_centers

Compute Distances with respect to Cluster Centers

Transform a Table into an Indicator Matrix

Context Words for seventeen Dutch Words Translated from French

Plotting Parallel Coordinates

Seventeen Dutch Source Words and their French Translations

Discriminant Correspondence Analysis

complete_pvpick

Complete the Output of pvpick

Latent Semantic Analysis

Simple Correspondence Analysis

Compute Level Frequencies (for a Factor)

Context Words for seventeen Dutch Words

weighting_functions

Weighting Functions