Cleaning Transcript Data Imported into R for qdap

Once you have successful imported your transcript data into R some cleaning should happen to use the full functionality of qdap.

###The following video demonstrates how to clean a transcript data set for qdap. ------------------------INSERT VIDEO UPON APPROVAL---------------

R code used in the cleaning for qdap video

library(qdap);library(gdata)  
        
dat1 <- read.csv(doc, header=FALSE,  strip.white = TRUE, sep=",", 
    as.is=FALSE, na.strings= " ")    
                                                     
colnames(dat1) <- c("person", "dialogue")                                         #rename the columns
is.blank <- function(x)x %in% c("", " ", "   ")                                   #function for finding blank cells
dat1 <- dat1[!apply(apply(dat1, 2, is.blank), 1, all), ]                          #select non blank cases
dat1$person <- as.factor(mgsub(c("#", " ", ":"), "", dat1$person, spacer=FALSE))  #standardize people's names
#strWrap(paste2(bracketXtract(dat1$dialogue, bracket = "curly")," "), 80)         #the story
dat1$dialogue <- bracketX(scrubber(dat1$dialogue))                                #remove extreneous marks
dat1[nchar(dat1$dialogue) < 3, ]                                                  #check to make sure everything looks good 

dat1$person <- drop.levels(dat1$person)                                           #drop unused people names (factor levels)
x <- c("Mrs.", "Ms.", "Mr.", "www.", ".com")                                      #remove abreviated names
dat1$dialogue <- mgsub(c(x, tolower(x)), c("Misses", "Miss", "Mister",  
     "www dot ", " dot com"), dat1$dialogue, fixed=TRUE)
dat1s <- sentSplit(dat1, "dialogue")                                              #splot TOT into sentences and stem                                                 

#SANITY CHECKS
truncdf(dat1s[nchar(as.character(dat1s$dialogue)) < 3, ] )
truncdf(dat1s, 50)