toDocumentTermMatrix {SentimentAnalysis} | R Documentation |
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 |
|
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 |
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