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.

Managing, Querying and Analyzing Tokenized Text

package-ubuntu-20.04-r-4.0.5#cran#corpustools-0.4.10

<p><a href="tCorpus.html">(back to overview)</a>
</p>

<p><strong>Create a tCorpus</strong>
</p>

<table summary="Rd table">
<tr>
<td style="text-align: left;">
  <a href="create_tcorpus.html">create_tcorpus()</a> </td>
<td style="text-align: left;"> Create a tCorpus from raw text input </td>
</tr>
<tr>
<td style="text-align: left;">
  <a href="tokens_to_tcorpus.html">tokens_to_tcorpus()</a> </td>
<td style="text-align: left;"> Create a tCorpus from a data.frame of already tokenized texts
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#corpustools-0.4.10#docs#tCorpus_create

tCorpus_create

Description

Details

corpustools

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create_tcorpus()	Create a tCorpus from raw text input
tokens_to_tcorpus()	Create a tCorpus from a data.frame of already tokenized texts