[Tutor] creating a corpus from a csv file

[Treder, Robert]

Hi, 
 
I'm very new to python and am trying to figure out how to make a corpus from a text file. I have a csv file (actually pipe '|' delimited) where each row corresponds to a different text document. Each row contains a communication note. Other columns correspond to categories of types of communications. I am able to read the csv file and print the notes column as follows: 
 
import csv
with open('notes.txt', 'rb') as infile:
    reader = csv.reader(infile, delimiter = '|')
    i = 0
    for row in reader:
    if i <= 25: print row[8]
    i = i+1

I would like to convert this to a categorized corpus with some of the other columns corresponding to the categories. All of the columns are text (i.e., strings). I have looked for documentation on how to use csv.reader with PlaintextCorpusReader but have been unsuccessful in finding a  example similar to what I want to do. Can someone please help?  
 
Thanks, 
Bob


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