batch_compute

It offers functions for splitting, parsing, tokenizing and creating a vocabulary for big text data files. Moreover, it includes functions for building a document-term matrix and extracting information from those (term-associations, most frequent terms). It also embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. Lastly, it includes functions for Word Vector Representations (i.e. 'GloVe', 'fasttext') and incorporates functions for the calculation of (pairwise) text document dissimilarities. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.

Lampros Mouselimis

textTinyR

Text Processing for Small or Big Data Files

batch_compute function

<dl><dt>n_rows</dt>
<dd>a numeric specifying the number of rows</dd>
<dt>n_batches</dt>
<dd>a numeric specifying the number of output batches</dd></dl>

Arguments

Compute batches — batch_compute

<dl>

<dt>n_rows</dt>
<dd>a numeric specifying the number of rows</dd>


<dt>n_batches</dt>
<dd>a numeric specifying the number of output batches</dd>

</dl>

batch_compute: Compute batches

Description

Usage

Value

Arguments

Examples