COS_TEXT

Cosine similarity for text documents

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

COS_TEXT function

<dl><dt>text_vector1</dt>
<dd>a character string vector representing text documents (it should have the same length as the text_vector2)</dd>
<dt>text_vector2</dt>
<dd>a character string vector representing text documents (it should have the same length as the text_vector1)</dd>
<dt>threads</dt>
<dd>a numeric value specifying the number of cores to run in parallel</dd>
<dt>separator</dt>
<dd>specifies the separator used between words of each character string in the text vectors</dd></dl>

Arguments

Cosine similarity for text documents — COS_TEXT

<dl>

<dt>text_vector1</dt>
<dd>a character string vector representing text documents (it should have the same length as the text_vector2)</dd>


<dt>text_vector2</dt>
<dd>a character string vector representing text documents (it should have the same length as the text_vector1)</dd>


<dt>threads</dt>
<dd>a numeric value specifying the number of cores to run in parallel</dd>


<dt>separator</dt>
<dd>specifies the separator used between words of each character string in the text vectors</dd>

</dl>

COS_TEXT: Cosine similarity for text documents

Description

Usage

Value

Arguments

Details

Examples