get_global_i

Features are given global ids, with an added distance (max_window_size) between contexts (e.g., documents, sentences).
This way, the distance of features can be calculated across multiple contexts using a single vector

Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations).
Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences),
similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages,
and the possibility to reconstruct original text from tokens to facilitate interpretation.

Kasper Welbers

corpustools

Managing, Querying and Analyzing Tokenized Text

get_global_i function

<dl><dt>tc</dt>
<dd>tCorpus object</dd>
<dt>context_level</dt>
<dd>either 'document' or 'sentence'</dd>
<dt>max_window_size</dt>
<dd>Determines the size of the gap between documents. Called max_window_size because this gap determines what the maximum window size is for non-overlapping windows between documents</dd></dl>

Arguments

Compute global feature positions — get_global_i

<dl>

<dt>tc</dt>
<dd>tCorpus object</dd>


<dt>context_level</dt>
<dd>either 'document' or 'sentence'</dd>


<dt>max_window_size</dt>
<dd>Determines the size of the gap between documents. Called max_window_size because this gap determines what the maximum window size is for non-overlapping windows between documents</dd>

</dl>

get_global_i: Compute global feature positions

Description

Usage

Value

Arguments