get_words: get_words function

In TextForecast: Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary

get_words function

Description

get_words function

Usage

get_words(corpus_dates, ntrms, st, path_name, language)

Arguments

corpus_dates	A vector of characters indicating the subfolders where are located the texts.
ntrms	maximum numbers of words that will be filtered by tf-idf. We rank the word by tf-idf in a decreasing order. Then, we select the words with the ntrms highest tf-idf.
st	set 0 to stem the words and 1 otherwise.
path_name	the folders path where the subfolders with the dates are located.
language	The texts language.

Value

a list containing a sparse matrix with the all words couting and another with a td-idf filtered words 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_wrd=get_words(corpus_dates=qt[1:23],path_name=path_name,ntrms=500,st=0)
#
path_name=system.file("news",package="TextForecast")
days=c("2019-31-01","2019-31-01")
z_wrd=get_words(corpus_dates=days,path_name=path_name,ntrms=500,st=0)

TextForecast documentation built on April 25, 2022, 9:06 a.m.