tCorpus_semnet

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

semnet)	Feature co-occurrence within contexts (documents, sentences)
semnet_window()	Feature co-occurrence within a specified token distance

ego_semnet()	Create an ego network from an Igraph network
plot_semnet()	Convenience function for visualizing an Igraph network, specialized for semantic networks

tCorpus_semnet: Feature co-occurrence based semantic network analysis

Description

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Details