Created
August 25, 2009 10:49
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| #!/usr/bin/env python | |
| import nltk | |
| ## Tom Sawyer, by Mark Twain. | |
| ## Available from the Gutenberg Project: | |
| ## http://www.gutenberg.org/files/74/74.txt | |
| reader = nltk.corpus.reader.PlaintextCorpusReader('.', 'twain-tomsawyer.txt') | |
| words = reader.words('twain-tomsawyer.txt') # List of all the words in the text | |
| fdist = nltk.FreqDist([w.lower() for w in words]) | |
| ## Simply figures out which of the 13 labels this dist should be sampled under | |
| def group(i): | |
| if i < 11: return str(i) | |
| elif i in range(11, 51): return("11-50") | |
| elif i in range(51, 101): return("51-100") | |
| else: return(">100") | |
| ## Now we can create another frequency distribution of the previously obtained | |
| ## values: | |
| fdist_freq = nltk.FreqDist([group(freq) for freq in fdist.values()]) | |
| fdist_freq.plot() |
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