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_symbolx <- "I like 60 (laughter) #d-bot and $6 @ the store w/o 8p.m."
qprep(x)Run the code above in your browser using DataLab