get_collocations {TextForecast}

get_collocations function

Description

get_collocations function

Usage

get_collocations(
  corpus_dates,
  path_name,
  ntrms,
  ngrams_number,
  min_freq,
  language
)

Arguments

corpus_dates

a character vector indicating the subfolders where are located the texts.

path_name

the folders path where the subfolders with the dates are located.

ntrms

maximum numbers of collocations that will be filtered by tf-idf. We rank the collocations by tf-idf in a decreasing order. Then, after we select the words with the ntrms highest tf-idf.

ngrams_number

integer indicating the size of the collocations. Defaults to 2, indicating to compute bigrams. If set to 3, will find collocations of bigrams and trigrams.

min_freq

integer indicating the frequency of how many times a collocation should at least occur in the data in order to be returned.

language

the texts language. Default is english.

Value

a list containing a sparse matrix with the all collocations couting and another with a tf-idf filtered collocations counting according to the ntrms.

Examples

st_year=2017
end_year=2018
path_name=system.file("news",package="TextForecast")
#qt=paste0(sort(rep(seq(from=st_year,to=end_year,by=1),12)),
#c("m1","m2","m3","m4","m5","m6","m7","m8","m9","m10","m11","m12"))
#z_coll=get_collocations(corpus_dates=qt[1:23],path_name=path_name,
#ntrms=500,ngrams_number=3,min_freq=10)
#
path_name=system.file("news",package="TextForecast")
days=c("2019-30-01","2019-31-01")
z_coll=get_collocations(corpus_dates=days[1],path_name=path_name,
ntrms=500,ngrams_number=3,min_freq=1)