rainette (version 0.1.2)

rainette2: Corpus clustering based on the Reinert method - Double clustering

Description

Corpus clustering based on the Reinert method - Double clustering

Usage

rainette2(
  x,
  y = NULL,
  max_k = 5,
  uc_size1 = 10,
  uc_size2 = 15,
  min_members = 10,
  min_chi2 = 3.84,
  ...
)

Arguments

x

either a quanteda dfm object or the result of rainette()

y

if x is a rainette() result, this must be another rainette() result from same dfm but with different uc size.

max_k

maximum number of clusters to compute

uc_size1

if x is a dfm, minimum uc size for first clustering

uc_size2

if x is a dfm, minimum uc size for second clustering

min_members

minimum members of each cluster

min_chi2

minimum chi2 for each cluster

...

if x is a dfm object, parameters passed to rainette() for both simple clusterings

Value

A tibble with optimal partitions found for each available value of k as rows, and the following columns :

• clusters list of the crossed original clusters used in the partition

• k the number of clusters

• chi2 sum of the chi2 value of each cluster

• n sum of the size of each cluster

• groups group membership of each document for this partition (NA if not assigned)

Details

You can pass a quanteda dfm as x object, the function then performs two simple clustering with varying minimum uc size, and then proceed to find optimal partitions based on the results of both clusterings.

If both clusterings have already been computed, you can pass them as x and y arguments and the function will only look for optimal partitions.

For more details on optimal partitions search algorithm, please see package vignettes.

References

• Reinert M, Une m<U+00E9>thode de classification descendante hi<U+00E9>rarchique : application <U+00E0> l'analyse lexicale par contexte, Cahiers de l'analyse des donn<U+00E9>es, Volume 8, Num<U+00E9>ro 2, 1983. http://www.numdam.org/item/?id=CAD_1983__8_2_187_0

• Reinert M., Alceste une m<U+00E9>thodologie d'analyse des donn<U+00E9>es textuelles et une application: Aurelia De Gerard De Nerval, Bulletin de M<U+00E9>thodologie Sociologique, Volume 26, Num<U+00E9>ro 1, 1990. 10.1177/075910639002600103

See Also

rainette(), cutree_rainette2(), rainette2_plot(), rainette2_explor()

Examples

# NOT RUN {
require(quanteda)
mini_corpus <- head(data_corpus_inaugural, n = 2)
mini_corpus <- split_segments(mini_corpus, 5)
dtm <- dfm(mini_corpus, remove = stopwords("en"), tolower = TRUE, remove_punct = TRUE)
dtm <- dfm_wordstem(dtm, language = "english")
dtm <- dfm_trim(dtm, min_termfreq = 3)

res1 <- rainette(dtm, k = 5, min_uc_size = 2, min_split_members = 2)
res2 <- rainette(dtm, k = 5, min_uc_size = 3, min_split_members = 2)

res <- rainette2(res1, res2, min_members = 2)
# }