as_cooccurrence: Convert a matrix to a co-occurrence data.frame

In udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit

Convert a matrix to a co-occurrence data.frame

Description

Use this function to convert the cells of a matrix to a co-occurrence data.frame containing fields term1, term2 and cooc where each row of the resulting data.frame contains the value of a cell in the matrix if the cell is not empty.

Usage

as_cooccurrence(x)

Arguments

x	a matrix or sparseMatrix

Value

a data.frame with columns term1, term2 and cooc where the data in cooc contain the content of the cells in the matrix for the combination of term1 and term2

Examples

data(brussels_reviews_anno)
x <- subset(brussels_reviews_anno, language == "nl")
dtm <- document_term_frequencies(x = x, document = "doc_id", term = "token")
dtm <- document_term_matrix(dtm)

correlation <- dtm_cor(dtm)
cooc <- as_cooccurrence(correlation)
head(cooc)

udpipe documentation built on Jan. 6, 2023, 5:06 p.m.