top_features

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

Wouter van Atteveldt

top_features function

<dl><dt>tc</dt>
<dd>a tCorpus</dd>
<dt>feature</dt>
<dd>The name of the feature</dd>
<dt>n</dt>
<dd>Return the top n features</dd>
<dt>group_by</dt>
<dd>A column in the token data to group the top features by. For example, if token data contains part-of-speech tags (pos), then grouping by pos will show the top n feature per part-of-speech tag.</dd>
<dt>group_by_meta</dt>
<dd>A column in the meta data to group the top features by.</dd>
<dt>rank_by</dt>
<dd>The method for ranking the terms. Currently supports frequency (default) and the 'Chi2' value for the
relative frequency of a term in a topic compared to the overall corpus.
If return_long is used, the Chi2 score is also returned, but note that there are negative Chi2 scores.
This is used to indicate that the relative frequency of a feature in a group was lower than
the relative frequency in the corpus (i.e. under-represented).</dd>
<dt>dropNA</dt>
<dd>if TRUE, drop NA features</dd>
<dt>return_long</dt>
<dd>if TRUE, results will be returned in a long format that contains more information.</dd></dl>

Arguments

Show top features — top_features

<dl>

<dt>tc</dt>
<dd>a tCorpus</dd>


<dt>feature</dt>
<dd>The name of the feature</dd>


<dt>n</dt>
<dd>Return the top n features</dd>


<dt>group_by</dt>
<dd>A column in the token data to group the top features by. For example, if token data contains part-of-speech tags (pos), then grouping by pos will show the top n feature per part-of-speech tag.</dd>


<dt>group_by_meta</dt>
<dd>A column in the meta data to group the top features by.</dd>


<dt>rank_by</dt>
<dd>The method for ranking the terms. Currently supports frequency (default) and the 'Chi2' value for the
relative frequency of a term in a topic compared to the overall corpus.
If return_long is used, the Chi2 score is also returned, but note that there are negative Chi2 scores.
This is used to indicate that the relative frequency of a feature in a group was lower than
the relative frequency in the corpus (i.e. under-represented).</dd>


<dt>dropNA</dt>
<dd>if TRUE, drop NA features</dd>


<dt>return_long</dt>
<dd>if TRUE, results will be returned in a long format that contains more information.</dd>

</dl>

top_features: Show top features

Description

Usage

Value

Arguments

Examples