Vector_Puller: Function for extacting word vectors from embeddings.

In LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management

Function for extacting word vectors from embeddings.

Description

Function for extacting word vectors from embeddings. This function is an internal function for 'Sentence_Puller'. It averages the word vectors and returns the average of these vectors.

Usage

Vector_Puller(words, emb_matrix, dimension)

Arguments

words	The word to be extracted.
emb_matrix	The embeddings matrix. It must be a data frame.
dimension	The Dimension of the embeddings to extract. They do not have to match that of the matrix, but they cannot exceed its maximum column count.

Details

This is a simple and fast internal function.

Value

The vector that corresponds to the average of the word vectors.

Author(s)

Travis Barton

Examples

# This is an example emb_matrix

emb = data.frame(matrix(c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1), nrow = 2), row.names = c('cow', 'moo'))

Vector_Puller(c('cow', 'moo'), emb, 5)

LilRhino documentation built on April 28, 2022, 1:06 a.m.