bracketX
,
replace_number
,
replace_symbol
,
replace_abbreviation
and
scrubber
to quickly prepare text for
analysis. Care should be taken with this function to
ensure data is properly formatted and complete.qprep(text.var, rm.dash = TRUE, bracket = "all", missing = NULL,
names = FALSE, abbreviation = qdapDictionaries::abbreviations,
replace = NULL, ignore.case = TRUE, num.paste = TRUE, ...)
TRUE
dashes will be
removed."curly"
,
"square"
, "round"
, "angle"
and
"all"
. These strings correspond to: {, [, (, <
or all four TRUE
the sentences are
given as the names of the counts.NULL
which turns off this parsing techniquTRUE
replaces
without regard to capitalization.TURE
a the elements
of larger numbers are separated with spaces. If
FALSE
the elements will be joined without spaces.
Also takes the argument NULL
which turns off this
parsing technique.replace_symbol
.bracketX
,
replace_abbreviation
,
replace_number
,
replace_symbol
x <- "I like 60 (laughter) #d-bot and $6 @ the store w/o 8p.m."
qprep(x)
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