run_firststage_fcm: First stage function of the article selection process taking...

In gidonc/durhamevp: ESRC/AHRC Victorian Election Violence Project R Code (Durham University)

First stage function of the article selection process taking in a set of documents and returning a set of potential keywords

Description

First stage function of the article selection process taking in a set of documents and returning a set of potential keywords

Usage

run_firststage_fcm(
  docs,
  docidvar = "fakeid",
  classvar = "classified",
  typevar = "EV_article",
  textvar = "description",
  stem = TRUE,
  min_termfreq = 20,
  min_docfreq = 20,
  max_termfreq = NULL,
  max_docfreq = NULL,
  remove_punct = TRUE,
  remove_numbers = TRUE,
  remove_hyphens = TRUE,
  termfreq_type = "count",
  docfreq_type = "count",
  dfm_tfidf = FALSE,
  initialkw = c("elect", "riot", "disturb", "incid"),
  cpoint2 = 0.9
)

Arguments

docs	Data frame of documents containing classified cases (R-set) and unclassified cases (S-set)
docidvar	Unique document id variable; default = "fakeid"
classvar	Indicator identifying classified documents; default = "classified"
typevar	Indicator identifying election violence articles; default = "EV_article"
textvar	Indicator identifying text field to classify on; default = "description"
stem	default FALSE
min_termfreq	default 20
min_docfreq	default 20
max_termfreq	default NULL
max_docfreq	default NULL
remove_punct	default TRUE
remove_numbers	default TRUE
remove_hyphens	default TRUE
termfreq_type	default "count"
docfreq_type	default "count"
dfm_tfidf	default FALSE
initialkw	Initial keywords used to retrive classified documents; default = c("elect", "riot", "disturb", "incid")
cpoint2	Cutpoint on predicability of keyword in step 2; default = 0.9

gidonc/durhamevp documentation built on April 8, 2022, 10:31 a.m.