calc_class_term_frequency: Calculate class term frequency matrix

In clintpgeorge/ldamcmc: Markov chain Monte Carlo Algorithms for the Latent Dirichlet Allocation Model

Description

Computes the class term frequency matrix for a given corpus.

Usage

calc_class_term_frequency(class.labels, vocab, doc.class.labels, documents)

Arguments

class.labels	A vector of true class names
vocab	a vector of words in the vocabulary
doc.class.labels	a vector of document classes
documents	a list documents read via read_docs

Value

The class term frequency matrix

Examples

documents <- read_docs('bop.ldac');
vocab <- readLines('bop.ldac.vocab');

doc.metadata <- read.csv2('bop.csv', header = T, sep = ';');
class.labels <- levels(doc.metadata[, 'category'])
ctf <- calc_class_term_frequency(class.labels, vocab, 
                                 doc.metadata[, 'category'], 
                                 documents);

clintpgeorge/ldamcmc documentation built on Feb. 22, 2020, 12:39 p.m.