contributive_docs: contributive_docs

In R.temis: Integrated Text Mining Solution

contributive_docs

Description

Print documents which contribute the most to an axis of correspondence analysis.

Usage

contributive_docs(corpus, ca, axis, ndocs = 10, nterms = 25)

Arguments

corpus	A Corpus object.
ca	A CA object.
axis	The CA axis to consider.
ndocs	The number of (most contributive) documents to print.
nterms	The number of terms to highlight in documents.

Details

Occurrences of the nterms most contributive terms are highlighted. If stemming or other transformations have been applied to original words using combine_terms, all original words which have been transformed to the specified terms are highlighted.

Value

Corpus object (invisibly).

Examples

file <- system.file("texts", "reut21578-factiva.xml", package="tm.plugin.factiva")
corpus <- import_corpus(file, "factiva", language="en")
dtm <- build_dtm(corpus)
ca <- corpus_ca(corpus, dtm)
contributive_docs(corpus, ca, 1)

# Also works when terms have been combined
dict <- dictionary(dtm)
dtm2 <- combine_terms(dtm, dict)
ca2 <- corpus_ca(corpus, dtm2)
contributive_docs(corpus, ca2, 1)

R.temis documentation built on Aug. 25, 2025, 5:12 p.m.