toDocumentTermMatrix: Default preprocessing of corpus and conversion to...

In sfeuerriegel/SentimentAnalysis: Dictionary-Based Sentiment Analysis

Default preprocessing of corpus and conversion to document-term matrix

Description

Preprocess existing corpus of type Corpus according to default operations. This helper function groups all standard preprocessing steps such that the usage of the package is more convenient. The result is a document-term matrix.

Usage

toDocumentTermMatrix(
  x,
  language = "english",
  minWordLength = 3,
  sparsity = NULL,
  removeStopwords = TRUE,
  stemming = TRUE,
  weighting = function(x) tm::weightTfIdf(x, normalize = FALSE)
)

Arguments

x	Corpus object which should be processed
language	Default language used for preprocessing (i.e. stop word removal and stemming)
minWordLength	Minimum length of words used for cut-off; i.e. shorter words are removed. Default is 3.
sparsity	A numeric for the maximal allowed sparsity in the range from bigger zero to smaller one. Default is NULL in order suppress this functionality.
removeStopwords	Flag indicating whether to remove stopwords or not (default: yes)
stemming	Perform stemming (default: TRUE)
weighting	Function used for weighting of words; default is a a link to the tf-idf scheme.

Value

Object of DocumentTermMatrix

See Also

DocumentTermMatrix for the underlying class

sfeuerriegel/SentimentAnalysis documentation built on Aug. 24, 2023, 3:24 p.m.