tCorpus_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

$preprocess()	Create or modify a feature by preprocessing an existing feature
$feature_subset()	Similar to using subset, but instead of deleting rows it only sets rows for a specified feature to NA.

feature_stats()	Create a data.frame with feature statistics
top_features()	Show top features, optionally grouped by a given factor

tCorpus_features: Preprocessing, subsetting and analyzing features

Description

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Details