R: read CSV

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I am trying to work with the tm package in R, and have a CSV file of customer feedback with each line being a different instance of feedback. I want to import all the content of this feedback into a corpus but I want each line to be a different document within the corpus, so that I can compare the feedback in a DocTerms Matrix. There are over 10,000 rows in my data set.

Originally I did the following:

fdbk_corpus <-Corpus(VectorSource(fdbk), readerControl = list(language="eng"), sep="\t")

This creates a corpus with 1 document and >10,000 rows, and I want >10,000 docs with 1 row each.

Here's a complete workflow to get what you want:

1. change this file location to suit your machine

file_loc <- "C:\\Documents and Settings\\Administrator\\Desktop\\Book1.csv"

1. change TRUE to FALSE if you have no column headings in the CSV

x <- read.csv(file_loc, header = TRUE) require(tm) corp <- Corpus(DataframeSource(x)) dtm <- DocumentTermMatrix(corp)

In the dtm object each row will be a doc, or a line of your original CSV file. Each column will be a word.