Dump raw reuters in nltk into a csv -- compatible with Mallet's Topic Modeling

go.py

from nltk.corpus import reuters

mylist = reuters.fileids()
f = open('myfile','w')
for text in mylist:
	something = text + '\t'
	for cat in reuters.categories(text):
		something += cat + " "
	something += '\t' + reuters.raw(text).replace('\n', '') + '\n'
	#print something
	f.write(something)
f.close()