Create document term matrix for fast search of single words
The characters removed
matrix_via_r(df, matrix_without_punctuation = TRUE)
A "data_dok" tibble
Should punctuation and digits be stripped from the text before constructing the document term matrix? If
TRUE, the default:
The corporaexplorer object will be lighter and most searches in the corpus exploration app will be faster.
Searches including punctuation and digits will be carried out in the full text documents.
The only "risk" with this strategy is that the corpus exploration app in some cases can produce false positives. E.g. searching for the term "donkey" will also find the term "don%key". This should not be a problem for the vast opportunity of use cases, but if one so desires, there are three different solutions: set this parameter to
FALSE, create a corporaexplorerobject without a matrix by setting the
FALSE, or run
use_matrixparameter set to
FALSE, the corporaexplorer object will be larger, and most simple searches will be slower.
List: 1) Document term matrix (data.table), 2) word vector (character vector).