Tools for Semantic Vector Spaces
Plotting Parallel Coordinates
Pointwise Mutual Information
Repeat the Rows of a Data Frame according to a Frequency Column
Seventeen Dutch Source Words and their English Translations
Seventeen Dutch Source Words and their French Translations
Tools for Semantic Vector Spaces
Transform a Table into a Data Frame
Transform a Table into an Indicator Matrix
Transform a Vector into a Double-Coded Matrix
Transform a Vector into an Indicator Matrix
Weighting Functions
Logratio Analysis
Compute Distances with respect to Cluster Centers
Compute Distances with respect to a certain Point
Create a Layout Matrix for a Bipartite Graph
Logarithmic transform
Mutual Information
Recursive Application of the Outer Product
Compute Cosine Distances
Seventeen Dutch Target Words and their English Source Words
Compute Chi-square Distances
Plotting a Cumulative Distribution
Compute Coordinates for Cluster Centers
Complete the Output of pvpick
Context Words for seventeen Dutch Words
Context Words for seventeen Dutch Words Translated from French
Context Words for seventeen Dutch Words Translated from French
Transform a Data Frame into a Double-Coded Matrix
Transform a Data Frame into an Indicator Matrix
Discriminant Correspondence Analysis
EM clustering
Latent Class Analysis
Log-Multiplicative Association Analysis
Seventeen Dutch Target Words and their French Source Words
Latent Semantic Analysis
Multiple Correspondence Analysis
Non-negative Matrix Factorization
Probabilistic Latent Semantic Analysis
Simple Correspondence Analysis
Compute Level Frequencies (for a Factor or Vector)
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, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.