as.speeches-method: Split partition into speeches

In nrauscher/corpus: Toolkit for Corpus Analysis

Description

A method designed for corpora from the PolMine corpora of plenary protocols. A partition is split into speeches.

Usage

## S4 method for signature 'partition'
as.speeches(.Object, sAttributeDates, sAttributeNames,
  gap = 500, mc = FALSE, verbose = TRUE, progress = TRUE)

Arguments

.Object	a partition .Object
sAttributeDates	the s-attribute that provides the dates of sessions
sAttributeNames	the s-attribute that provides the names of speakers
gap	number of tokens between strucs to identify speeches
mc	whether to use multicore, defaults to FALSE
verbose	logical, defaults to TRUE
progress	logical

Value

a partitionBundle object

Examples

## Not run: 
  use(polmineR.sampleCorpus)
  bt <- partition("PLPRBTTXT", text_year="2009")
  speeches <- as.speeches(bt, sAttributeDates="text_date", sAttributeNames="text_name")
  
  # step-by-step, not the fastest way
  speeches <- enrich(speeches, pAttribute="word")
  tdm <- as.TermDocumentMatrix(speeches, col="count")
  
  # fast option (counts performed when assembling the sparse matrix)
  tdm <- as.TermDocumentMatrix(speeches, pAttribute="word")
  termsToDropList <- noise(tdm)
  whatToDrop <- c("stopwords", "specialChars", "numbers", "minNchar")
  termsToDrop <- unlist(lapply(whatToDrop, function(x) termsToDropList[[x]]))
  tdm <- trim(tdm, termsToDrop = termsToDrop)

## End(Not run)

nrauscher/corpus documentation built on May 23, 2019, 9:34 p.m.