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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