How do I create my own NLTK text from a text file?
nltk, python
Solution
Found the answer myself. That's embarrassing. Or awesome.
From Ch. 3:
f=open('my-file.txt','rU')
raw=f.read()
tokens = nltk.word_tokenize(raw)
text = nltk.Text(tokens)
Does the trick.
Problem
I'm a Literature grad student, and I've been going through the O'Reilly book in Natural Language Processing (nltk.org/book). It looks incredibly useful. I've played around with all the example texts and example tasks in Chapter 1, like concordances. I now know how many times Moby Dick uses the word "whale." The problem is, I can't figure out how to do these calculations on one of my own texts. I've found information on how to create my own corpora (Ch. 2 of the O'Reilly book), but I don't think that's exactly what I want to do. In other words, I want to be able to do ``` import nltk text1.concordance('yellow') ``` and get the places where the word 'yellow' is used in my text. At the moment I can do this with the example texts, but not my own. I'm very new to python and programming, and so this stuff is very exciting, but very confusing.