Processes big text data files in batches efficiently. For this purpose, it offers functions for splitting, parsing, tokenizing and creating a vocabulary. Moreover, it includes functions for building either a document-term matrix or a term-document matrix and extracting information from those (term-associations, most frequent terms). Lastly, it embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
|Author||Lampros Mouselimis <[email protected]>|
|Date of publication||2018-01-16 19:03:11 UTC|
|Maintainer||Lampros Mouselimis <[email protected]>|
|Package repository||View on CRAN|
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